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For: Pop M, Salzberg SL. Bioinformatics challenges of new sequencing technology. Trends in Genetics 2008;24:142-9. [DOI: 10.1016/j.tig.2007.12.006] [Cited by in Crossref: 320] [Cited by in F6Publishing: 234] [Article Influence: 21.3] [Reference Citation Analysis]
Number Citing Articles
1 Zhu F, Lu J, Sun K, Deng C, Xu Y. Polyploidization of Indotyphlops braminus, evidence from Isoform-sequencing.. [DOI: 10.21203/rs.3.rs-2649572/v1] [Reference Citation Analysis]
2 Nevado DL, Delos Santos S, Bastian G, Deyta J, Managuelod EJ, Fortaleza JA, De Jesus R. Detection, Identification, and Inactivation of Histamine-forming Bacteria in Seafood: A Mini-review. J Food Prot 2023;86:100049. [PMID: 36916556 DOI: 10.1016/j.jfp.2023.100049] [Reference Citation Analysis]
3 Chavda VP, Vihol D, Patel A, Redwan EM, Uversky VN. Introduction to Bioinformatics, AI, and ML for Pharmaceuticals. Bioinformatics Tools for Pharmaceutical Drug Product Development 2023. [DOI: 10.1002/9781119865728.ch1] [Reference Citation Analysis]
4 Marquis-hrabe J, Jung D, Park S, Boray A, Ronholm J. Foodborne Bacterial Pathogen Big Data – Genomic Analysis. Food Microbiology and Food Safety 2023. [DOI: 10.1007/978-3-031-07179-9_2] [Reference Citation Analysis]
5 Berbers B, Vanneste K, Roosens NHCJ, Marchal K, Ceyssens PJ, De Keersmaecker SCJ. Using a combination of short- and long-read sequencing to investigate the diversity in plasmid- and chromosomally encoded extended-spectrum beta-lactamases (ESBLs) in clinical Shigella and Salmonella isolates in Belgium. Microb Genom 2023;9. [PMID: 36748573 DOI: 10.1099/mgen.0.000925] [Reference Citation Analysis]
6 Barth JMI, Handley SA, Kintzl D, Leonard G, Malinsky M, Matschiner M, Meyer BS, Salzburger W, Stefka J, Trucchi E. The history and organization of the Workshop on Population and Speciation Genomics. Evolution (N Y) 2023;16:2. [PMID: 36789285 DOI: 10.1186/s12052-023-00182-w] [Reference Citation Analysis]
7 Ermolaev A, Kudryavtseva N, Pivovarov A, Kirov I, Karlov G, Khrustaleva L. Integrating Genetic and Chromosome Maps of Allium cepa: From Markers Visualization to Genome Assembly Verification. Int J Mol Sci 2022;23:10486. [PMID: 36142398 DOI: 10.3390/ijms231810486] [Reference Citation Analysis]
8 Aleisa HN, Hamad S, Elhadad A, Xiang W. K-Mer Spectrum-Based Error Correction Algorithm for Next-Generation Sequencing Data. Computational Intelligence and Neuroscience 2022;2022:1-8. [DOI: 10.1155/2022/8077664] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Ye S, Yu X, Chen H, Zhang Y, Wu Q, Tan H, Song J, Saqib HSA, Farhadi A, Ikhwanuddin M, Ma H. Full-Length Transcriptome Reconstruction Reveals the Genetic Mechanisms of Eyestalk Displacement and Its Potential Implications on the Interspecific Hybrid Crab (Scylla serrata ♀ × S. paramamosain ♂). Biology 2022;11:1026. [DOI: 10.3390/biology11071026] [Reference Citation Analysis]
10 Vandenbogaert M, Kwasiborski A, Gonofio E, Descorps-Declère S, Selekon B, Nkili Meyong AA, Ouilibona RS, Gessain A, Manuguerra JC, Caro V, Nakoune E, Berthet N. Nanopore sequencing of a monkeypox virus strain isolated from a pustular lesion in the Central African Republic. Sci Rep 2022;12:10768. [PMID: 35750759 DOI: 10.1038/s41598-022-15073-1] [Cited by in Crossref: 3] [Cited by in F6Publishing: 8] [Article Influence: 3.0] [Reference Citation Analysis]
11 Choudhury J, Ashraf FB. An Analysis of Different Distance-Linkage Methods for Clustering Gene Expression Data and Observing Pleiotropy: Empirical Study. JMIR Bioinform Biotech 2022;3:e30890. [DOI: 10.2196/30890] [Reference Citation Analysis]
12 Barth JM, Handley S, Kintzl D, Leonard G, Malinsky M, Matschiner M, Meyer BS, Salzburger W, Stefka J, Trucchi E. The history and organization of the Workshop on Population and Speciation Genomics.. [DOI: 10.1101/2022.05.14.491932] [Reference Citation Analysis]
13 Guiglielmoni N, Rivera-vicéns R, Koszul R, Flot J. A deep dive into genome assemblies of non-vertebrate animals. Peer Community Journal 2022;2:e29. [DOI: 10.24072/pcjournal.128] [Reference Citation Analysis]
14 Chung D, Kwon YM, Yang Y. Telomere-to-telomere genome assembly of asparaginase-producing Trichoderma simmonsii. BMC Genomics 2021;22:830. [PMID: 34789157 DOI: 10.1186/s12864-021-08162-4] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
15 Renn D, Shepard L, Vancea A, Karan R, Arold ST, Rueping M. Novel Enzymes From the Red Sea Brine Pools: Current State and Potential. Front Microbiol 2021;12:732856. [PMID: 34777282 DOI: 10.3389/fmicb.2021.732856] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
16 Filho JAF, Rosolen RR, Almeida DA, de Azevedo PHC, Motta MLL, Aono AH, Dos Santos CA, Horta MAC, de Souza AP. Trends in biological data integration for the selection of enzymes and transcription factors related to cellulose and hemicellulose degradation in fungi. 3 Biotech 2021;11:475. [PMID: 34777932 DOI: 10.1007/s13205-021-03032-y] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
17 Javaran VJ, Moffett P, Lemoyne P, Xu D, Adkar-Purushothama CR, Fall ML. Grapevine Virology in the Third-Generation Sequencing Era: From Virus Detection to Viral Epitranscriptomics. Plants (Basel) 2021;10:2355. [PMID: 34834718 DOI: 10.3390/plants10112355] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
18 Ahmed H, Alarabi L, El-Sappagh S, Soliman H, Elmogy M. Genetic variations analysis for complex brain disease diagnosis using machine learning techniques: opportunities and hurdles. PeerJ Comput Sci 2021;7:e697. [PMID: 34616886 DOI: 10.7717/peerj-cs.697] [Reference Citation Analysis]
19 Meng X, Xu J, Zhang M, Du R, Zhao W, Zeng Q, Tu Z, Chen J, Chen B. Third-generation sequencing and metabolome analysis reveal candidate genes and metabolites with altered levels in albino jackfruit seedlings. BMC Genomics 2021;22:543. [PMID: 34271866 DOI: 10.1186/s12864-021-07873-y] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
20 Choudhury J, Ashraf FB. An Analysis of Different Distance-Linkage Methods for Clustering Gene Expression Data and Observing Pleiotropy: Empirical Study (Preprint).. [DOI: 10.2196/preprints.30890] [Reference Citation Analysis]
21 Chen C, Lu B, Huang X, Bi C, Zhao L, Hu Y, Chen X, Lin S, Huang K. A Python script to merge Sanger sequences. PeerJ 2021;9:e11354. [PMID: 33987023 DOI: 10.7717/peerj.11354] [Reference Citation Analysis]
22 Wang H, Wang C, Qu H, Bao W. Deep Neural Network for Somatic Mutation Classification. Scientific Programming 2021;2021:1-10. [DOI: 10.1155/2021/5529202] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
23 Liu W, Wu Q. Analysis method and algorithm design of biological sequence problem based on generalized k-mer vector. Appl Math J Chin Univ 2021;36:114-127. [DOI: 10.1007/s11766-021-4033-x] [Reference Citation Analysis]
24 Shi H, Wu G. Gene Sequence Assembly Algorithm Model Based on the DBG Strategy and Its Application. Journal of Healthcare Engineering 2021;2021:1-11. [DOI: 10.1155/2021/6676194] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
25 Gupta MK, Gouda G, Sabarinathan S, Donde R, Vadde R, Behera L. Mapping Algorithms in High-Throughput Sequencing. Bioinformatics in Rice Research 2021. [DOI: 10.1007/978-981-16-3993-7_14] [Reference Citation Analysis]
26 Pati P, Rathore SK, Gupta MK. Databases and Bioinformatics Tools for Data Mining. Bioinformatics in Rice Research 2021. [DOI: 10.1007/978-981-16-3993-7_6] [Reference Citation Analysis]
27 Sarker B, Rahaman MM, Khan S, Bosu P, Mollah MNH. Bioinformatic Analysis of Differentially Expressed Genes (DEGs) Detected from RNA-Sequence Profiles of Mouse Striatum. Data Science and SDGs 2021. [DOI: 10.1007/978-981-16-1919-9_9] [Reference Citation Analysis]
28 Dembélé D. A method for computing the Perron root for primitive matrices. Numer Linear Algebra Appl 2021;28. [DOI: 10.1002/nla.2340] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
29 Rubalakshmi G, Vijayakumar N, Prabhakar Y, Nirubama K, Senthilkumar P, Vennila L, Siva Selvi D, Jayaprakash R. Analysis of Diplocyclos palmatus plant biomaterials (proteins) using in silico approach and homology modeling. Materials Today: Proceedings 2020. [DOI: 10.1016/j.matpr.2020.09.435] [Reference Citation Analysis]
30 Wong K, Zhang J, Yan S, Li X, Lin Q, Kwong S, Liang C. DNA Sequencing Technologies: Sequencing Data Protocols and Bioinformatics Tools. ACM Comput Surv 2020;52:1-30. [DOI: 10.1145/3340286] [Cited by in Crossref: 6] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
31 Yang S, Gill RA, Zaman QU, Ulhassan Z, Zhou W. Insights on SNP types, detection methods and their utilization in Brassica species: Recent progress and future perspectives. J Biotechnol 2020;324:11-20. [PMID: 32979432 DOI: 10.1016/j.jbiotec.2020.09.018] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
32 Yin X, Yi K, Zhao Y, Hu Y, Li X, He T, Liu J, Cui G. Revealing the full-length transcriptome of caucasian clover rhizome development. BMC Plant Biol 2020;20:429. [PMID: 32938399 DOI: 10.1186/s12870-020-02637-4] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 2.7] [Reference Citation Analysis]
33 Chen Z, Erickson DL, Meng J. Benchmarking hybrid assembly approaches for genomic analyses of bacterial pathogens using Illumina and Oxford Nanopore sequencing. BMC Genomics 2020;21:631. [PMID: 32928108 DOI: 10.1186/s12864-020-07041-8] [Cited by in Crossref: 13] [Cited by in F6Publishing: 16] [Article Influence: 4.3] [Reference Citation Analysis]
34 Jiang S, Zheng X, Li L. De novo assembly of Auricularia polytricha transcriptome and discovery of genes involved in the degradation of lignocellulose. Biotechnol Appl Biochem 2021;68:983-91. [PMID: 32786100 DOI: 10.1002/bab.2005] [Reference Citation Analysis]
35 Krüger A, Schäfers C, Busch P, Antranikian G. Digitalization in microbiology - Paving the path to sustainable circular bioeconomy. N Biotechnol 2020;59:88-96. [PMID: 32750680 DOI: 10.1016/j.nbt.2020.06.004] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 4.0] [Reference Citation Analysis]
36 Garg D, Rani S. Dynamic Hybrid Secured Environment (DHSE) to Provide Confidentiality in Cloud Computing Environment. j comput theor nanosci 2020;17:2557-2561. [DOI: 10.1166/jctn.2020.8930] [Reference Citation Analysis]
37 Zwe YH, Chin SF, Kohli GS, Aung KT, Yang L, Yuk HG. Whole genome sequencing (WGS) fails to detect antimicrobial resistance (AMR) from heteroresistant subpopulation of Salmonella enterica. Food Microbiol 2020;91:103530. [PMID: 32539974 DOI: 10.1016/j.fm.2020.103530] [Cited by in Crossref: 11] [Cited by in F6Publishing: 9] [Article Influence: 3.7] [Reference Citation Analysis]
38 Gilboa T, Garden PM, Cohen L. Single-molecule analysis of nucleic acid biomarkers - A review. Anal Chim Acta 2020;1115:61-85. [PMID: 32370870 DOI: 10.1016/j.aca.2020.03.001] [Cited by in Crossref: 20] [Cited by in F6Publishing: 21] [Article Influence: 6.7] [Reference Citation Analysis]
39 Ghuge SS, Kumar N, Savitha S, Suraj V. Multilayer Technique to Secure Data Transfer in Private Cloud for SaaS Applications. 2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA) 2020. [DOI: 10.1109/icimia48430.2020.9074969] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
40 Kokot S. Virtuelle Laboratorien. Handbuch Virtualität 2020. [DOI: 10.1007/978-3-658-16342-6_31] [Reference Citation Analysis]
41 Kumar M, Kumar R, Nidhya R. WOAMSA: Whale Optimization Algorithm for Multiple Sequence Alignment of Protein Sequence. Computational Vision and Bio-Inspired Computing 2020. [DOI: 10.1007/978-3-030-37218-7_15] [Reference Citation Analysis]
42 Srivastava Y, Sangwan NS. Improving medicinal crops through phytochemical perspective: Withania somnifera (Ashwagandha). Advancement in Crop Improvement Techniques 2020. [DOI: 10.1016/b978-0-12-818581-0.00017-6] [Cited by in Crossref: 3] [Article Influence: 1.0] [Reference Citation Analysis]
43 Agarwal T, Suravajhala R, Bhushan M, Goswami P, Iddamalgoda L, Malik B, Valadi J, Suravajhala P. Recent Advances in Gene and Genome Assembly: Challenges and Implications. Advances in Synthetic Biology 2020. [DOI: 10.1007/978-981-15-0081-7_12] [Reference Citation Analysis]
44 Jianhua L, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, P. R. China;Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, P. R. China, Ye T, Peng X, Qinglong W. Mini-review: Advances of metagenomics research for lake microbiomes. Journal of Lake Sciences 2020;32:271-280. [DOI: 10.18307/2020.0125] [Reference Citation Analysis]
45 Jain KK, Kumar A, Shankar A, Pandey D, Chaudhary B, Sharma KK. De novo transcriptome assembly and protein profiling of copper-induced lignocellulolytic fungus Ganoderma lucidum MDU-7 reveals genes involved in lignocellulose degradation and terpenoid biosynthetic pathways. Genomics 2020;112:184-98. [DOI: 10.1016/j.ygeno.2019.01.012] [Cited by in Crossref: 30] [Cited by in F6Publishing: 31] [Article Influence: 10.0] [Reference Citation Analysis]
46 Rayon RR, Choudhury J, Islam MT, Roshni TR, Bin Ashraf F, Ajwad R, Mottalib MA. Identifying the best metrics to find the best quality clusters of genes from gene expression data. Proceedings of the 2019 6th International Conference on Bioinformatics Research and Applications 2019. [DOI: 10.1145/3383783.3383787] [Reference Citation Analysis]
47 Jiang JB, Quattrini AM, Francis WR, Ryan JF, Rodríguez E, McFadden CS. A hybrid de novo assembly of the sea pansy (Renilla muelleri) genome. Gigascience 2019;8:giz026. [PMID: 30942866 DOI: 10.1093/gigascience/giz026] [Cited by in Crossref: 15] [Cited by in F6Publishing: 19] [Article Influence: 3.8] [Reference Citation Analysis]
48 Janardhan KS, Kohnken R, Turner OC, Gurumurthy CB, Kovi RC. Looking Forward: Cutting-Edge Technologies and Skills for Pathologists in the Future. Toxicol Pathol 2019;47:1082-7. [DOI: 10.1177/0192623319873855] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
49 Cao Y, Li J, Chu X, Liu H, Liu W, Liu D. Nanopore sequencing: a rapid solution for infectious disease epidemics. Sci China Life Sci 2019;62:1101-3. [PMID: 31372817 DOI: 10.1007/s11427-019-9596-x] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
50 Durán R, Rodriguez V, Carrasco A, Neale D, Balocchi C, Valenzuela S. SNP discovery in radiata pine using a de novo transcriptome assembly. Trees 2019;33:1505-11. [DOI: 10.1007/s00468-019-01875-w] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
51 Zhang H, Hall N, Goertzen LR, Bi B, Chen CY, Peatman E, Lowe EK, Patel J, Mcelroy JS. Development of a goosegrass ( Eleusine indica ) draft genome and application to weed science research. Pest Manag Sci 2019;75:2776-84. [DOI: 10.1002/ps.5389] [Cited by in Crossref: 15] [Cited by in F6Publishing: 17] [Article Influence: 3.8] [Reference Citation Analysis]
52 Mo GY, Huang F, Fang Y, Han LT, Pennerman KK, Bu LJ, DU XW, Bennett JW, Yin GH. Transcriptomic analysis in Anemone flaccida rhizomes reveals ancillary pathway for triterpene saponins biosynthesis and differential responsiveness to phytohormones. Chin J Nat Med 2019;17:131-44. [PMID: 30797419 DOI: 10.1016/S1875-5364(19)30015-9] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
53 Watson M, Warr A. Errors in long-read assemblies can critically affect protein prediction. Nat Biotechnol 2019;37:124-6. [DOI: 10.1038/s41587-018-0004-z] [Cited by in Crossref: 137] [Cited by in F6Publishing: 140] [Article Influence: 34.3] [Reference Citation Analysis]
54 Kumar M, Om H. A Hybrid Bio—Inspired Algorithm for Protein Domain Problems. Advances in Nature-Inspired Computing and Applications 2019. [DOI: 10.1007/978-3-319-96451-5_13] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
55 Hoy MA. DNA Sequencing and the Evolution of the “-Omics”. Insect Molecular Genetics 2019. [DOI: 10.1016/b978-0-12-815230-0.00006-6] [Reference Citation Analysis]
56 Yadav BS, Yadav AK, Singh S, Singh NK, Mani A. Methods in Metagenomics and Environmental Biotechnology. Nanoscience and Biotechnology for Environmental Applications 2019. [DOI: 10.1007/978-3-319-97922-9_4] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
57 Kokot S. Virtuelle Laboratorien. Handbuch Virtualität 2019. [DOI: 10.1007/978-3-658-16358-7_31-1] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
58 Chen KT, Shen HT, Lu CL. Multi-CSAR: a multiple reference-based contig scaffolder using algebraic rearrangements. BMC Syst Biol 2018;12:139. [PMID: 30598087 DOI: 10.1186/s12918-018-0654-y] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 0.6] [Reference Citation Analysis]
59 Sapna G, Gokul S. Next generation sequencing in oral disease diagnostics. World J Stomatol 2018; 6(2): 6-10 [DOI: 10.5321/wjs.v6.i2.6] [Cited by in CrossRef: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.2] [Reference Citation Analysis]
60 Sohn JI, Nam JW. The present and future of de novo whole-genome assembly. Brief Bioinform 2018;19:23-40. [PMID: 27742661 DOI: 10.1093/bib/bbw096] [Cited by in Crossref: 49] [Cited by in F6Publishing: 85] [Article Influence: 9.8] [Reference Citation Analysis]
61 Kumar G, Cho S, Sivagurunathan P, Anburajan P, Mahapatra DM, Park J, Pugazhendhi A. Insights into evolutionary trends in molecular biology tools in microbial screening for biohydrogen production through dark fermentation. International Journal of Hydrogen Energy 2018;43:19885-901. [DOI: 10.1016/j.ijhydene.2018.09.040] [Cited by in Crossref: 29] [Cited by in F6Publishing: 31] [Article Influence: 5.8] [Reference Citation Analysis]
62 Jiang J, Quattrini AM, Francis WR, Ryan JF, Rodríguez E, Mcfadden CS. A Hybridde novoAssembly of the Sea Pansy (Renilla muelleri) Genome.. [DOI: 10.1101/424614] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.6] [Reference Citation Analysis]
63 Chen Q, Lan C, Zhao L, Wang J, Chen B, Chen YP. Recent advances in sequence assembly: principles and applications. Brief Funct Genomics 2017;16:361-78. [PMID: 28453648 DOI: 10.1093/bfgp/elx006] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 2.0] [Reference Citation Analysis]
64 Zhang W, Tao T, Liu X, Xu F, Chang J, Liao Y. De novo assembly and comparative transcriptome analysis: novel insights into sesquiterpenoid biosynthesis in Matricaria chamomilla L. Acta Physiol Plant 2018;40. [DOI: 10.1007/s11738-018-2706-8] [Reference Citation Analysis]
65 Gruenstaeudl M, Gerschler N, Borsch T. Bioinformatic Workflows for Generating Complete Plastid Genome Sequences-An Example from Cabomba (Cabombaceae) in the Context of the Phylogenomic Analysis of the Water-Lily Clade. Life (Basel) 2018;8:E25. [PMID: 29933597 DOI: 10.3390/life8030025] [Cited by in Crossref: 11] [Cited by in F6Publishing: 12] [Article Influence: 2.2] [Reference Citation Analysis]
66 Adamopoulos PG, Theodoropoulou MC, Scorilas A. Alternative Splicing Detection Tool-a novel PERL algorithm for sensitive detection of splicing events, based on next-generation sequencing data analysis. Ann Transl Med 2018;6:244. [PMID: 30069446 DOI: 10.21037/atm.2018.06.32] [Cited by in Crossref: 10] [Cited by in F6Publishing: 11] [Article Influence: 2.0] [Reference Citation Analysis]
67 Gias E, Brosnahan CL, Orr D, Binney B, Ha HJ, Preece MA, Jones B. In vivo growth and genomic characterization of rickettsia-like organisms isolated from farmed Chinook salmon ( Oncorhynchus tshawytscha ) in New Zealand. J Fish Dis 2018;41:1235-45. [DOI: 10.1111/jfd.12817] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 0.8] [Reference Citation Analysis]
68 Biscarini F, Cozzi P, Orozco-Ter Wengel P. Lessons learnt on the analysis of large sequence data in animal genomics. Anim Genet 2018;49:147-58. [PMID: 29624711 DOI: 10.1111/age.12655] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
69 De Filippis LF. Underutilised and Neglected Crops: Next Generation Sequencing Approaches for Crop Improvement and Better Food Security. Global Perspectives on Underutilized Crops 2018. [DOI: 10.1007/978-3-319-77776-4_11] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.4] [Reference Citation Analysis]
70 Waminal NE, Perumal S, Liu S, Chalhoub B, Kim HH, Yang T. Quantity, Distribution, and Evolution of Major Repeats in Brassica napus. Compendium of Plant Genomes 2018. [DOI: 10.1007/978-3-319-43694-4_6] [Cited by in Crossref: 3] [Article Influence: 0.6] [Reference Citation Analysis]
71 Johnson JS, Krutovsky KV, Rajora OP, Gaddis KD, Cairns DM. Advancing Biogeography Through Population Genomics. Population Genomics 2018. [DOI: 10.1007/13836_2018_39] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 0.8] [Reference Citation Analysis]
72 Li L. The Next Generation Sequencing (NGS) of Asthma Genetics. Genomic Approach to Asthma 2018. [DOI: 10.1007/978-981-10-8764-6_2] [Reference Citation Analysis]
73 Nobile MS, Cazzaniga P, Tangherloni A, Besozzi D. Graphics processing units in bioinformatics, computational biology and systems biology. Brief Bioinform 2017;18:870-85. [PMID: 27402792 DOI: 10.1093/bib/bbw058] [Cited by in Crossref: 30] [Cited by in F6Publishing: 45] [Article Influence: 5.0] [Reference Citation Analysis]
74 Appio FP, Martini A, Fantoni G. The light and shade of knowledge recombination: Insights from a general-purpose technology. Technological Forecasting and Social Change 2017;125:154-65. [DOI: 10.1016/j.techfore.2017.07.018] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 2.3] [Reference Citation Analysis]
75 Leung KS, Siu GK, Tam KK, To SW, Rajwani R, Ho PL, Wong SS, Zhao WW, Ma OC, Yam WC. Comparative Genomic Analysis of Two Clonally Related Multidrug Resistant Mycobacterium tuberculosis by Single Molecule Real Time Sequencing. Front Cell Infect Microbiol 2017;7:478. [PMID: 29188195 DOI: 10.3389/fcimb.2017.00478] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 0.8] [Reference Citation Analysis]
76 Cassandrini D, Trovato R, Rubegni A, Lenzi S, Fiorillo C, Baldacci J, Minetti C, Astrea G, Bruno C, Santorelli FM; Italian Network on Congenital Myopathies. Congenital myopathies: clinical phenotypes and new diagnostic tools. Ital J Pediatr. 2017;43:101. [PMID: 29141652 DOI: 10.1186/s13052-017-0419-z] [Cited by in Crossref: 54] [Cited by in F6Publishing: 56] [Article Influence: 9.0] [Reference Citation Analysis]
77 Colagiero M, Pentimone I, Rosso LC, Ciancio A. A Metagenomic Study on the Effect of Aboveground Plant Cover on Soil Bacterial Diversity. In: Lukac M, Grenni P, Gamboni M, editors. Soil Biological Communities and Ecosystem Resilience. Cham: Springer International Publishing; 2017. pp. 97-106. [DOI: 10.1007/978-3-319-63336-7_6] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 0.7] [Reference Citation Analysis]
78 Lee B, Moon T, Yoon S, Weissman T. DUDE-Seq: Fast, flexible, and robust denoising for targeted amplicon sequencing. PLoS One 2017;12:e0181463. [PMID: 28749987 DOI: 10.1371/journal.pone.0181463] [Cited by in Crossref: 38] [Cited by in F6Publishing: 39] [Article Influence: 6.3] [Reference Citation Analysis]
79 Goodwin S, McPherson JD, McCombie WR. Coming of age: Ten years of next-generation sequencing technologies. Nat Rev Genet. 2016;17:333-351. [PMID: 27184599 DOI: 10.1038/nrg.2016.49] [Cited by in Crossref: 2404] [Cited by in F6Publishing: 2433] [Article Influence: 400.7] [Reference Citation Analysis]
80 Yu J, Yan L, Chen Z, Li H, Ying S, Zhu H, Shi Z. Investigating right ovary degeneration in chick embryos by transcriptome sequencing. J Reprod Dev 2017;63:295-303. [PMID: 28413176 DOI: 10.1262/jrd.2016-134] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 0.7] [Reference Citation Analysis]
81 Rahpeyma M, Samarbaf-Zadeh A, Makvandi M, Ghadiri AA, Dowall SD, Fotouhi F. Expression and characterization of codon-optimized Crimean-Congo hemorrhagic fever virus Gn glycoprotein in insect cells. Arch Virol 2017;162:1951-62. [PMID: 28316015 DOI: 10.1007/s00705-017-3315-3] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 1.0] [Reference Citation Analysis]
82 Tian W, Paudel D, Vendrame W, Wang J. Enriching Genomic Resources and Marker Development from Transcript Sequences of Jatropha curcas for Microgravity Studies. Int J Genomics 2017;2017:8614160. [PMID: 28154822 DOI: 10.1155/2017/8614160] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 0.8] [Reference Citation Analysis]
83 Ferraro Petrillo U, Vitali R. Benchmarking Spark Distributed Data Structures: A Sequence Analysis Case Study. Advances in Artificial Life, Evolutionary Computation, and Systems Chemistry 2017. [DOI: 10.1007/978-3-319-57711-1_7] [Reference Citation Analysis]
84 Comin M, Schimd M. Assembly-Free Techniques for NGS Data. Algorithms for Next-Generation Sequencing Data 2017. [DOI: 10.1007/978-3-319-59826-0_14] [Reference Citation Analysis]
85 Seetharaman B, Ramachandran A, Nandy K, Shapshak P. Sequence Accuracy in Primary Databases: A Case Study on HIV-1B. Global Virology II - HIV and NeuroAIDS 2017. [DOI: 10.1007/978-1-4939-7290-6_32] [Reference Citation Analysis]
86 Dhawan D. Clinical Next-Generation Sequencing. Progress and Challenges in Precision Medicine 2017. [DOI: 10.1016/b978-0-12-809411-2.00002-7] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.2] [Reference Citation Analysis]
87 Singh AK. Discovery and Role of Molecular Markers Involved in Gene Mapping, Molecular Breeding, and Genetic Diversity. Plant Bioinformatics 2017. [DOI: 10.1007/978-3-319-67156-7_12] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
88 López-mondéjar R, Kostovčík M, Lladó S, Carro L, García-fraile P. Exploring the Plant Microbiome Through Multi-omics Approaches. Probiotics in Agroecosystem 2017. [DOI: 10.1007/978-981-10-4059-7_13] [Cited by in Crossref: 11] [Cited by in F6Publishing: 10] [Article Influence: 1.8] [Reference Citation Analysis]
89 Limtong S, Nasanit R. Phylloplane Yeasts in Tropical Climates. Yeasts in Natural Ecosystems: Diversity 2017. [DOI: 10.1007/978-3-319-62683-3_7] [Cited by in Crossref: 13] [Cited by in F6Publishing: 12] [Article Influence: 2.2] [Reference Citation Analysis]
90 Künstner A, Hoffmann M, Fraser BA, Kottler VA, Sharma E, Weigel D, Dreyer C. The Genome of the Trinidadian Guppy, Poecilia reticulata, and Variation in the Guanapo Population. PLoS One 2016;11:e0169087. [PMID: 28033408 DOI: 10.1371/journal.pone.0169087] [Cited by in Crossref: 58] [Cited by in F6Publishing: 59] [Article Influence: 8.3] [Reference Citation Analysis]
91 Shi X, Yang L, Gao J, Sheng Y, Li X, Gu Y, Zhuang G, Chen F. Deep sequencing of Magnoliae officinalis reveals upstream genes related to the lignan biosynthetic pathway. J For Res 2017;28:671-81. [DOI: 10.1007/s11676-016-0356-5] [Reference Citation Analysis]
92 Cristiano F, Veltri P. Methods and Techniques for miRNA Data Analysis. Methods Mol Biol 2016;1375:11-23. [PMID: 26069024 DOI: 10.1007/7651_2015_238] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 0.4] [Reference Citation Analysis]
93 Jeong H, Pan J, Park S. Contamination as a major factor in poor Illumina assembly of microbial isolate genomes.. [DOI: 10.1101/081885] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 0.7] [Reference Citation Analysis]
94 Veneziano D, Di Bella S, Nigita G, Laganà A, Ferro A, Croce CM. Noncoding RNA: Current Deep Sequencing Data Analysis Approaches and Challenges. Hum Mutat 2016;37:1283-98. [PMID: 27516218 DOI: 10.1002/humu.23066] [Cited by in Crossref: 58] [Cited by in F6Publishing: 64] [Article Influence: 8.3] [Reference Citation Analysis]
95 Vatanparast M, Shetty P, Chopra R, Doyle JJ, Sathyanarayana N, Egan AN. Transcriptome sequencing and marker development in winged bean (Psophocarpus tetragonolobus; Leguminosae). Sci Rep 2016;6:29070. [PMID: 27356763 DOI: 10.1038/srep29070] [Cited by in Crossref: 44] [Cited by in F6Publishing: 45] [Article Influence: 6.3] [Reference Citation Analysis]
96 Jetson RR, Krusemark CJ. Sensing Enzymatic Activity by Exposure and Selection of DNA-Encoded Probes. Angew Chem 2016;128:9714-8. [DOI: 10.1002/ange.201603387] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 1.0] [Reference Citation Analysis]
97 Jetson RR, Krusemark CJ. Sensing Enzymatic Activity by Exposure and Selection of DNA-Encoded Probes. Angew Chem Int Ed Engl 2016;55:9562-6. [PMID: 27355201 DOI: 10.1002/anie.201603387] [Cited by in Crossref: 23] [Cited by in F6Publishing: 24] [Article Influence: 3.3] [Reference Citation Analysis]
98 Harvey MG, Smith BT, Glenn TC, Faircloth BC, Brumfield RT. Sequence Capture versus Restriction Site Associated DNA Sequencing for Shallow Systematics. Syst Biol 2016;65:910-24. [PMID: 27288477 DOI: 10.1093/sysbio/syw036] [Cited by in Crossref: 178] [Cited by in F6Publishing: 176] [Article Influence: 25.4] [Reference Citation Analysis]
99 Mai V, Prosperi M, Yaghjyan L. Moving microbiota research toward establishing causal associations that represent viable targets for effective public health interventions. Annals of Epidemiology 2016;26:306-10. [DOI: 10.1016/j.annepidem.2016.03.011] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 1.7] [Reference Citation Analysis]
100 Kumar GR, Chowdhary N. Biotechnological and bioinformatics approaches for augmentation of biohydrogen production: A review. Renewable and Sustainable Energy Reviews 2016;56:1194-206. [DOI: 10.1016/j.rser.2015.12.022] [Cited by in Crossref: 33] [Cited by in F6Publishing: 34] [Article Influence: 4.7] [Reference Citation Analysis]
101 Gupta A, Kounovsky-shafer KL, Ravindran P, Schwartz DC. Optical mapping and nanocoding approaches to whole-genome analysis. Microfluid Nanofluid 2016;20. [DOI: 10.1007/s10404-015-1685-y] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
102 Nakauchi A, Wong JH, Mahasirimongkol S, Yanai H, Yuliwulandari R, Mabuchi A, Liu X, Mushiroda T, Wattanapokayakit S, Miyagawa T, Keicho N, Tokunaga K. Identification of ITPA on chromosome 20 as a susceptibility gene for young-onset tuberculosis. Hum Genome Var 2016;3:15067. [PMID: 27081565 DOI: 10.1038/hgv.2015.67] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 1.4] [Reference Citation Analysis]
103 Gupta SK, Bencurova E, Srivastava M, Pahlavan P, Balkenhol J, Dandekar T. Improving Re-annotation of Annotated Eukaryotic Genomes. Big Data Analytics in Genomics 2016. [DOI: 10.1007/978-3-319-41279-5_5] [Cited by in Crossref: 1] [Article Influence: 0.1] [Reference Citation Analysis]
104 Rogers Y, Zhang C. Genomic Technologies in Medicine and Health. Medical and Health Genomics 2016. [DOI: 10.1016/b978-0-12-420196-5.00002-2] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 1.0] [Reference Citation Analysis]
105 Jameson JL, Kopp P. Applications of Genetics in Endocrinology. Endocrinology: Adult and Pediatric 2016. [DOI: 10.1016/b978-0-323-18907-1.00004-4] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.1] [Reference Citation Analysis]
106 Berry IJ, Steele JR, Padula MP, Djordjevic SP. The application of terminomics for the identification of protein start sites and proteoforms in bacteria. Proteomics 2016;16:257-72. [DOI: 10.1002/pmic.201500319] [Cited by in Crossref: 26] [Cited by in F6Publishing: 24] [Article Influence: 3.3] [Reference Citation Analysis]
107 Alma'abadi AD, Gojobori T, Mineta K. Marine Metagenome as A Resource for Novel Enzymes. Genomics Proteomics Bioinformatics 2015;13:290-5. [PMID: 26563467 DOI: 10.1016/j.gpb.2015.10.001] [Cited by in Crossref: 37] [Cited by in F6Publishing: 37] [Article Influence: 4.6] [Reference Citation Analysis]
108 Christmas MJ, Biffin E, Lowe AJ. Transcriptome sequencing, annotation and polymorphism detection in the hop bush, Dodonaea viscosa. BMC Genomics 2015;16:803. [PMID: 26474753 DOI: 10.1186/s12864-015-1987-1] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 0.9] [Reference Citation Analysis]
109 Chen L, Cao Y, Yuan N, Nakamura K, Wang G, Qiu Y. Characterization of transcriptome and development of novel EST-SSR makers based on next-generation sequencing technology in Neolitsea sericea (Lauraceae) endemic to East Asian land-bridge islands. Mol Breeding 2015;35. [DOI: 10.1007/s11032-015-0379-1] [Cited by in Crossref: 30] [Cited by in F6Publishing: 30] [Article Influence: 3.8] [Reference Citation Analysis]
110 Raupach MJ, Amann R, Wheeler QD, Roos C. The application of “-omics” technologies for the classification and identification of animals. Org Divers Evol 2016;16:1-12. [DOI: 10.1007/s13127-015-0234-6] [Cited by in Crossref: 35] [Cited by in F6Publishing: 36] [Article Influence: 4.4] [Reference Citation Analysis]
111 Yao S, Yoo S, Yu D. Prior knowledge driven Granger causality analysis on gene regulatory network discovery. BMC Bioinformatics 2015;16:273. [PMID: 26316173 DOI: 10.1186/s12859-015-0710-1] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 1.3] [Reference Citation Analysis]
112 Datta S, Budhauliya R, Das B, Chatterjee S, Vanlalhmuaka, Veer V. Next-generation sequencing in clinical virology: Discovery of new viruses. World J Virology 2015; 4(3): 265-276 [PMID: 26279987 DOI: 10.5501/wjv.v4.i3.265] [Cited by in CrossRef: 62] [Cited by in F6Publishing: 62] [Article Influence: 7.8] [Reference Citation Analysis]
113 Wang X, Shi W, Rinehart T. Transcriptomes That Confer to Plant Defense against Powdery Mildew Disease in Lagerstroemia indica. Int J Genomics 2015;2015:528395. [PMID: 26247009 DOI: 10.1155/2015/528395] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 0.6] [Reference Citation Analysis]
114 Fierst JL. Using linkage maps to correct and scaffold de novo genome assemblies: methods, challenges, and computational tools. Front Genet 2015;6:220. [PMID: 26150829 DOI: 10.3389/fgene.2015.00220] [Cited by in Crossref: 97] [Cited by in F6Publishing: 98] [Article Influence: 12.1] [Reference Citation Analysis]
115 Starr J, Castro E, Crosas M, Dumontier M, Downs RR, Duerr R, Haak LL, Haendel M, Herman I, Hodson S, Hourclé J, Kratz JE, Lin J, Nielsen LH, Nurnberger A, Proell S, Rauber A, Sacchi S, Smith A, Taylor M, Clark T. Achieving human and machine accessibility of cited data in scholarly publications. PeerJ Comput Sci 2015;1:e1. [PMID: 26167542 DOI: 10.7717/peerj-cs.1] [Cited by in Crossref: 67] [Cited by in F6Publishing: 73] [Article Influence: 8.4] [Reference Citation Analysis]
116 Bahassi el M, Stambrook PJ. Next-generation sequencing technologies: breaking the sound barrier of human genetics. Mutagenesis 2014;29:303-10. [PMID: 25150023 DOI: 10.1093/mutage/geu031] [Cited by in Crossref: 81] [Cited by in F6Publishing: 84] [Article Influence: 10.1] [Reference Citation Analysis]
117 Harvey MG, Judy CD, Seeholzer GF, Maley JM, Graves GR, Brumfield RT. Similarity thresholds used in DNA sequence assembly from short reads can reduce the comparability of population histories across species. PeerJ 2015;3:e895. [PMID: 25922792 DOI: 10.7717/peerj.895] [Cited by in Crossref: 51] [Cited by in F6Publishing: 49] [Article Influence: 6.4] [Reference Citation Analysis]
118 Kumar V, Maitra SS, Shukla RN. Environmental Metagenomics: The Data Assembly and Data Analysis Perspectives. J Inst Eng India Ser A 2015;96:71-83. [DOI: 10.1007/s40030-014-0102-y] [Cited by in Crossref: 3] [Article Influence: 0.4] [Reference Citation Analysis]
119 Kaye J. The Tension Between Data Sharing and the Protection of Privacy in Genomics Research. Ethics, Law and Governance of Biobanking 2015. [DOI: 10.1007/978-94-017-9573-9_8] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 0.6] [Reference Citation Analysis]
120 Li RW. Rumen Metagenomics. Rumen Microbiology: From Evolution to Revolution 2015. [DOI: 10.1007/978-81-322-2401-3_16] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 0.4] [Reference Citation Analysis]
121 Kumar M. An enhanced algorithm for multiple sequence alignment of protein sequences using genetic algorithm. EXCLI J 2015;14:1232-55. [PMID: 27065770 DOI: 10.17179/excli2015-302] [Reference Citation Analysis]
122 Benton CH, Delahay RJ, Trewby H, Hodgson DJ. What has molecular epidemiology ever done for wildlife disease research? Past contributions and future directions. Eur J Wildl Res 2015;61:1-16. [DOI: 10.1007/s10344-014-0882-4] [Cited by in Crossref: 16] [Cited by in F6Publishing: 16] [Article Influence: 1.8] [Reference Citation Analysis]
123 Simonyan V, Mazumder R. High-Performance Integrated Virtual Environment (HIVE) Tools and Applications for Big Data Analysis. Genes (Basel) 2014;5:957-81. [PMID: 25271953 DOI: 10.3390/genes5040957] [Cited by in Crossref: 50] [Cited by in F6Publishing: 53] [Article Influence: 5.6] [Reference Citation Analysis]
124 Kwon S, Lee B, Yoon S. CASPER: context-aware scheme for paired-end reads from high-throughput amplicon sequencing. BMC Bioinformatics 2014;15 Suppl 9:S10. [PMID: 25252785 DOI: 10.1186/1471-2105-15-S9-S10] [Cited by in Crossref: 44] [Cited by in F6Publishing: 48] [Article Influence: 4.9] [Reference Citation Analysis]
125 Looso M. Opening the genetic toolbox of niche model organisms with high throughput techniques: novel proteins in regeneration as a case study. Bioessays 2014;36:407-18. [PMID: 24741707 DOI: 10.1002/bies.201300093] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 0.7] [Reference Citation Analysis]
126 Ripp F, Krombholz CF, Liu Y, Weber M, Schäfer A, Schmidt B, Köppel R, Hankeln T. All-Food-Seq (AFS): a quantifiable screen for species in biological samples by deep DNA sequencing. BMC Genomics 2014;15:639. [PMID: 25081296 DOI: 10.1186/1471-2164-15-639] [Cited by in Crossref: 47] [Cited by in F6Publishing: 46] [Article Influence: 5.2] [Reference Citation Analysis]
127 Saha S, Rajasekaran S. Efficient and scalable scaffolding using optical restriction maps. BMC Genomics 2014;15 Suppl 5:S5. [PMID: 25081913 DOI: 10.1186/1471-2164-15-S5-S5] [Cited by in Crossref: 17] [Cited by in F6Publishing: 16] [Article Influence: 1.9] [Reference Citation Analysis]
128 DNA Sequencing and Next-Generation Sequencing Methods. Modern Biophysical Chemistry 2014. [DOI: 10.1002/9783527683505.ch11] [Reference Citation Analysis]
129 Nelson EM, Li H, Timp G. Direct, concurrent measurements of the forces and currents affecting DNA in a nanopore with comparable topography. ACS Nano 2014;8:5484-93. [PMID: 24840912 DOI: 10.1021/nn405331t] [Cited by in Crossref: 31] [Cited by in F6Publishing: 32] [Article Influence: 3.4] [Reference Citation Analysis]
130 Foulongne-Oriol M, Lapalu N, Férandon C, Spataro C, Ferrer N, Amselem J, Savoie JM. The first set of expressed sequence tags (EST) from the medicinal mushroom Agaricus subrufescens delivers resource for gene discovery and marker development. Appl Microbiol Biotechnol 2014;98:7879-92. [PMID: 24917377 DOI: 10.1007/s00253-014-5844-y] [Cited by in Crossref: 11] [Cited by in F6Publishing: 9] [Article Influence: 1.2] [Reference Citation Analysis]
131 Puritz JB, Hollenbeck CM, Gold JR. dDocent: a RADseq, variant-calling pipeline designed for population genomics of non-model organisms. PeerJ 2014;2:e431. [PMID: 24949246 DOI: 10.7717/peerj.431] [Cited by in Crossref: 266] [Cited by in F6Publishing: 271] [Article Influence: 29.6] [Reference Citation Analysis]
132 Knief C. Analysis of plant microbe interactions in the era of next generation sequencing technologies. Front Plant Sci 2014;5:216. [PMID: 24904612 DOI: 10.3389/fpls.2014.00216] [Cited by in Crossref: 152] [Cited by in F6Publishing: 161] [Article Influence: 16.9] [Reference Citation Analysis]
133 Duan X, Zhao K, Liu W. HiPGA: A High Performance Genome Assembler for Short Read Sequence Data. 2014 IEEE International Parallel & Distributed Processing Symposium Workshops 2014. [DOI: 10.1109/ipdpsw.2014.68] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.1] [Reference Citation Analysis]
134 Douglas GL, Pfeiler E, Duong T, Klaenhammer TR. Genomics and Proteomics of Foodborne Microorganisms. Food Microbiology 2014. [DOI: 10.1128/9781555818463.ch39] [Reference Citation Analysis]
135 Brousseau L, Tinaut A, Duret C, Lang T, Garnier-Gere P, Scotti I. High-throughput transcriptome sequencing and preliminary functional analysis in four Neotropical tree species. BMC Genomics 2014;15:238. [PMID: 24673733 DOI: 10.1186/1471-2164-15-238] [Cited by in Crossref: 15] [Cited by in F6Publishing: 15] [Article Influence: 1.7] [Reference Citation Analysis]
136 Näätsaari L, Krainer FW, Schubert M, Glieder A, Thallinger GG. Peroxidase gene discovery from the horseradish transcriptome. BMC Genomics 2014;15:227. [PMID: 24666710 DOI: 10.1186/1471-2164-15-227] [Cited by in Crossref: 18] [Cited by in F6Publishing: 19] [Article Influence: 2.0] [Reference Citation Analysis]
137 Ge X, Chen H, Wang H, Shi A, Liu K. De novo assembly and annotation of Salvia splendens transcriptome using the Illumina platform. PLoS One 2014;9:e87693. [PMID: 24622329 DOI: 10.1371/journal.pone.0087693] [Cited by in Crossref: 27] [Cited by in F6Publishing: 31] [Article Influence: 3.0] [Reference Citation Analysis]
138 Chun HE, Khattra J, Krzywinski M, Aparicio SA, Marra MA. Second-Generation Sequencing for Cancer Genome Analysis. Cancer Genomics 2014. [DOI: 10.1016/b978-0-12-396967-5.00002-5] [Cited by in Crossref: 1] [Article Influence: 0.1] [Reference Citation Analysis]
139 Iantorno S, Gori K, Goldman N, Gil M, Dessimoz C. Who watches the watchmen? An appraisal of benchmarks for multiple sequence alignment. Methods Mol Biol 2014;1079:59-73. [PMID: 24170395 DOI: 10.1007/978-1-62703-646-7_4] [Cited by in Crossref: 32] [Cited by in F6Publishing: 36] [Article Influence: 3.6] [Reference Citation Analysis]
140 Habu T, Tao R. Transcriptome Analysis of Self- and Cross-pollinated Pistils of Japanese Apricot (Prunus mume Sieb. et Zucc.). J Japan Soc Hort Sci 2014;83:95-107. [DOI: 10.2503/jjshs1.ch-086] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 1.6] [Reference Citation Analysis]
141 Dean B, Moller HJ, Svensson TH, Geyer MA, Rujescu D, Scarr E, Millan MJ. Problems and solutions to filling the drying drug pipeline for psychiatric disorders: a report from the inaugural 2012 CINP Think Tank. Int J Neuropsychopharmacol 2014;17:137-48. [PMID: 24063634 DOI: 10.1017/S1461145713001077] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 0.9] [Reference Citation Analysis]
142 Marín-garcía J. Introduction to the Molecular Biology of the Cell. Post-Genomic Cardiology 2014. [DOI: 10.1016/b978-0-12-404599-6.00001-9] [Reference Citation Analysis]
143 Marín-garcía J. Methodologies in the Era of Cardiovascular “Omics”. Post-Genomic Cardiology 2014. [DOI: 10.1016/b978-0-12-404599-6.00002-0] [Reference Citation Analysis]
144 Chen YM, Yu CH, Hwang CC, Liu T. OMACC: an Optical-Map-Assisted Contig Connector for improving de novo genome assembly. BMC Syst Biol 2013;7 Suppl 6:S7. [PMID: 24564959 DOI: 10.1186/1752-0509-7-S6-S7] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 0.4] [Reference Citation Analysis]
145 Alam I, Antunes A, Kamau AA, Ba Alawi W, Kalkatawi M, Stingl U, Bajic VB. INDIGO - INtegrated data warehouse of microbial genomes with examples from the red sea extremophiles. PLoS One 2013;8:e82210. [PMID: 24324765 DOI: 10.1371/journal.pone.0082210] [Cited by in Crossref: 64] [Cited by in F6Publishing: 64] [Article Influence: 6.4] [Reference Citation Analysis]
146 Hopp L, Lembcke K, Binder H, Wirth H. Portraying the Expression Landscapes of B-CellLymphoma-Intuitive Detection of Outlier Samples and of Molecular Subtypes. Biology (Basel) 2013;2:1411-37. [PMID: 24833231 DOI: 10.3390/biology2041411] [Cited by in Crossref: 11] [Cited by in F6Publishing: 14] [Article Influence: 1.1] [Reference Citation Analysis]
147 Yao S, Yoo S, Yu D. Prior Knowledge Driven Causality Analysis in Gene Regulatory Network Discovery. 2013 IEEE 13th International Conference on Data Mining Workshops 2013. [DOI: 10.1109/icdmw.2013.107] [Reference Citation Analysis]
148 Zhao K, Liu W, Voss G, Mueller-wittig W. Accelerating De Bruijn Graph-Based Genome Assembly for High-Throughput Short Read Data. 2013 International Conference on Parallel and Distributed Systems 2013. [DOI: 10.1109/icpads.2013.68] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.1] [Reference Citation Analysis]
149 Bauters L, Haegeman A, Kyndt T, Gheysen G. Analysis of the transcriptome of Hirschmanniella oryzae to explore potential survival strategies and host-nematode interactions. Mol Plant Pathol 2014;15:352-63. [PMID: 24279397 DOI: 10.1111/mpp.12098] [Cited by in Crossref: 21] [Cited by in F6Publishing: 22] [Article Influence: 2.1] [Reference Citation Analysis]
150 Li P, Deng WQ, Li TH, Song B, Shen YH. Illumina-based de novo transcriptome sequencing and analysis of Amanita exitialis basidiocarps. Gene 2013;532:63-71. [PMID: 24050899 DOI: 10.1016/j.gene.2013.09.014] [Cited by in Crossref: 44] [Cited by in F6Publishing: 39] [Article Influence: 4.4] [Reference Citation Analysis]
151 Stobbe AH, Daniels J, Espindola AS, Verma R, Melcher U, Ochoa-Corona F, Garzon C, Fletcher J, Schneider W. E-probe Diagnostic Nucleic acid Analysis (EDNA): a theoretical approach for handling of next generation sequencing data for diagnostics. J Microbiol Methods 2013;94:356-66. [PMID: 23867249 DOI: 10.1016/j.mimet.2013.07.002] [Cited by in Crossref: 36] [Cited by in F6Publishing: 38] [Article Influence: 3.6] [Reference Citation Analysis]
152 Bacardit J, Llorà X. Large scale data mining using genetics-based machine learning. Proceedings of the 15th annual conference companion on Genetic and evolutionary computation 2013. [DOI: 10.1145/2464576.2480807] [Cited by in Crossref: 1] [Article Influence: 0.1] [Reference Citation Analysis]
153 Yoon CK, Yu HG. Strategies for Mutation Discovery in Retinitis Pigmentosa: Transition to the Next Generation. J Genet Med 2013;10:13-19. [DOI: 10.5734/jgm.2013.10.1.13] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.1] [Reference Citation Analysis]
154 Ferté C, Trister AD, Huang E, Bot BM, Guinney J, Commo F, Sieberts S, André F, Besse B, Soria JC, Friend SH. Impact of bioinformatic procedures in the development and translation of high-throughput molecular classifiers in oncology. Clin Cancer Res 2013;19:4315-25. [PMID: 23780890 DOI: 10.1158/1078-0432.CCR-12-3937] [Cited by in Crossref: 29] [Cited by in F6Publishing: 30] [Article Influence: 2.9] [Reference Citation Analysis]
155 Dattolo E, Gu J, Bayer PE, Mazzuca S, Serra IA, Spadafora A, Bernardo L, Natali L, Cavallini A, Procaccini G. Acclimation to different depths by the marine angiosperm Posidonia oceanica: transcriptomic and proteomic profiles. Front Plant Sci 2013;4:195. [PMID: 23785376 DOI: 10.3389/fpls.2013.00195] [Cited by in Crossref: 27] [Cited by in F6Publishing: 30] [Article Influence: 2.7] [Reference Citation Analysis]
156 Guo X, Li Y, Li C, Luo H, Wang L, Qian J, Luo X, Xiang L, Song J, Sun C, Xu H, Yao H, Chen S. Analysis of the Dendrobium officinale transcriptome reveals putative alkaloid biosynthetic genes and genetic markers. Gene 2013;527:131-8. [PMID: 23756193 DOI: 10.1016/j.gene.2013.05.073] [Cited by in Crossref: 76] [Cited by in F6Publishing: 80] [Article Influence: 7.6] [Reference Citation Analysis]
157 Yuanqi Hu, Georgiou P. A study of the partitioned dynamic programming algorithm for genome comparison in FPGA. 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013) 2013. [DOI: 10.1109/iscas.2013.6572237] [Reference Citation Analysis]
158 Hayes M, Li J. Bellerophon: a hybrid method for detecting interchromosomal rearrangements at base pair resolution using next-generation sequencing data. BMC Bioinformatics 2013;14 Suppl 5:S6. [PMID: 23734783 DOI: 10.1186/1471-2105-14-S5-S6] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 1.4] [Reference Citation Analysis]
159 Kisand V, Lettieri T. Genome sequencing of bacteria: sequencing, de novo assembly and rapid analysis using open source tools. BMC Genomics 2013;14:211. [PMID: 23547799 DOI: 10.1186/1471-2164-14-211] [Cited by in Crossref: 39] [Cited by in F6Publishing: 40] [Article Influence: 3.9] [Reference Citation Analysis]
160 Carvalho BS, Rustici G. The challenges of delivering bioinformatics training in the analysis of high-throughput data. Brief Bioinform 2013;14:538-47. [PMID: 23543353 DOI: 10.1093/bib/bbt018] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 0.9] [Reference Citation Analysis]
161 Hirsch PR, Mauchline TH, Clark IM. Culture-Independent Molecular Approaches to Microbial Ecology in Soil and the Rhizosphere. Molecular Microbial Ecology of the Rhizosphere 2013. [DOI: 10.1002/9781118297674.ch5] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 0.6] [Reference Citation Analysis]
162 Gullapalli RR, Lyons-Weiler M, Petrosko P, Dhir R, Becich MJ, LaFramboise WA. Clinical integration of next-generation sequencing technology. Clin Lab Med 2012;32:585-99. [PMID: 23078661 DOI: 10.1016/j.cll.2012.07.005] [Cited by in Crossref: 49] [Cited by in F6Publishing: 51] [Article Influence: 4.9] [Reference Citation Analysis]
163 Hughes GM, Gang L, Murphy WJ, Higgins DG, Teeling EC. Using Illumina next generation sequencing technologies to sequence multigene families in de novo species. Mol Ecol Resour 2013;13:510-21. [PMID: 23480365 DOI: 10.1111/1755-0998.12087] [Cited by in Crossref: 14] [Cited by in F6Publishing: 16] [Article Influence: 1.4] [Reference Citation Analysis]
164 Vasli N, Laporte J. Impacts of massively parallel sequencing for genetic diagnosis of neuromuscular disorders. Acta Neuropathol 2013;125:173-85. [PMID: 23224362 DOI: 10.1007/s00401-012-1072-7] [Cited by in Crossref: 32] [Cited by in F6Publishing: 31] [Article Influence: 3.2] [Reference Citation Analysis]
165 Silva A, Carneiro AR, Aburjaile F, Guimarães LC, Ramos RT, Castro TL, Abreu V, Silva WM, Schneider P, Azevedo V. Comprehensive whole genome and transcriptome analysis for novel diagnostics. Next-Generation Sequencing & Molecular Diagnostics 2013. [DOI: 10.2217/ebo.12.208] [Reference Citation Analysis]
166 Forde BM, O'Toole PW. Next-generation sequencing technologies and their impact on microbial genomics. Brief Funct Genomics 2013;12:440-53. [PMID: 23314033 DOI: 10.1093/bfgp/els062] [Cited by in Crossref: 48] [Cited by in F6Publishing: 50] [Article Influence: 4.8] [Reference Citation Analysis]
167 Bacardit J, Llorà X. Large-scale data mining using genetics-based machine learning: Large-scale Data Mining using GBML. WIREs Data Mining Knowl Discov 2013;3:37-61. [DOI: 10.1002/widm.1078] [Cited by in Crossref: 48] [Cited by in F6Publishing: 48] [Article Influence: 4.8] [Reference Citation Analysis]
168 Zhou F, He H, Chen H, Yu H, Lorieux M, He Y. Genomics-Based Breeding Technology. Genetics and Genomics of Rice 2013. [DOI: 10.1007/978-1-4614-7903-1_22] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.2] [Reference Citation Analysis]
169 Bruce C, Uyar A. Transcriptomics Technology: Promise and Potential Pitfalls. Human Gametes and Preimplantation Embryos 2013. [DOI: 10.1007/978-1-4614-6651-2_16] [Reference Citation Analysis]
170 连 帅. Genome Assembly Algorithms: A Survey. HJCB 2013;03:7-14. [DOI: 10.12677/hjcb.2013.32002] [Reference Citation Analysis]
171 Hoy MA. DNA Sequencing and the Evolution of the “-Omics”. Insect Molecular Genetics. Elsevier; 2013. pp. 251-305. [DOI: 10.1016/b978-0-12-415874-0.00007-x] [Cited by in Crossref: 2] [Article Influence: 0.2] [Reference Citation Analysis]
172 Marín-garcía J. Current Progress and Future Perspectives: Toward Mitochondrial Medicine. Mitochondria and Their Role in Cardiovascular Disease 2013. [DOI: 10.1007/978-1-4614-4599-9_24] [Reference Citation Analysis]
173 Hayes M, Pyon YS, Li J. A model-based clustering method for genomic structural variant prediction and genotyping using paired-end sequencing data. PLoS One 2012;7:e52881. [PMID: 23300804 DOI: 10.1371/journal.pone.0052881] [Cited by in Crossref: 13] [Cited by in F6Publishing: 15] [Article Influence: 1.2] [Reference Citation Analysis]
174 Lopes P, Oliveira JL. COEUS: "semantic web in a box" for biomedical applications. J Biomed Semantics 2012;3:11. [PMID: 23244467 DOI: 10.1186/2041-1480-3-11] [Cited by in Crossref: 30] [Cited by in F6Publishing: 30] [Article Influence: 2.7] [Reference Citation Analysis]
175 Quo CF, Kaddi C, Phan JH, Zollanvari A, Xu M, Wang MD, Alterovitz G. Reverse engineering biomolecular systems using -omic data: challenges, progress and opportunities. Brief Bioinform 2012;13:430-45. [PMID: 22833495 DOI: 10.1093/bib/bbs026] [Cited by in Crossref: 17] [Cited by in F6Publishing: 17] [Article Influence: 1.5] [Reference Citation Analysis]
176 Arnold ML, Ballerini ES, Brothers AN, Hamlin JA, Ishibashi CD, Zuellig MP. The genomics of natural selection and adaptation: Christmas past, present and future(?). Plant Ecology & Diversity 2012;5:451-6. [DOI: 10.1080/17550874.2012.662706] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.2] [Reference Citation Analysis]
177 Lee B, Park J, Yoon S. Rapid and Robust Denoising of Pyrosequenced Amplicons for Metagenomics. 2012 IEEE 12th International Conference on Data Mining 2012. [DOI: 10.1109/icdm.2012.68] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.1] [Reference Citation Analysis]
178 Wajid B, Serpedin E, Nounou M, Nounou H. Optimal reference sequence selection for genome assembly using minimum description length principle. EURASIP J Bioinform Syst Biol 2012;2012:18. [PMID: 23186305 DOI: 10.1186/1687-4153-2012-18] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 0.4] [Reference Citation Analysis]
179 Kua CS, Ruan J, Harting J, Ye CX, Helmus MR, Yu J, Cannon CH. Reference-free comparative genomics of 174 chloroplasts. PLoS One 2012;7:e48995. [PMID: 23185288 DOI: 10.1371/journal.pone.0048995] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 0.4] [Reference Citation Analysis]
180 Li YI, Copley RR. Scaffolding low quality genomes using orthologous protein sequences. Bioinformatics 2013;29:160-5. [PMID: 23162087 DOI: 10.1093/bioinformatics/bts661] [Cited by in Crossref: 11] [Cited by in F6Publishing: 12] [Article Influence: 1.0] [Reference Citation Analysis]
181 Pérez-de-Castro AM, Vilanova S, Cañizares J, Pascual L, Blanca JM, Díez MJ, Prohens J, Picó B. Application of genomic tools in plant breeding. Curr Genomics 2012;13:179-95. [PMID: 23115520 DOI: 10.2174/138920212800543084] [Cited by in Crossref: 167] [Cited by in F6Publishing: 170] [Article Influence: 15.2] [Reference Citation Analysis]
182 Zhang X, Ye N, Liang C, Mou S, Fan X, Xu J, Xu D, Zhuang Z. De novo sequencing and analysis of the Ulva linza transcriptome to discover putative mechanisms associated with its successful colonization of coastal ecosystems. BMC Genomics 2012;13:565. [PMID: 23098051 DOI: 10.1186/1471-2164-13-565] [Cited by in Crossref: 35] [Cited by in F6Publishing: 35] [Article Influence: 3.2] [Reference Citation Analysis]
183 Ong WD, Voo LY, Kumar VS. De novo assembly, characterization and functional annotation of pineapple fruit transcriptome through massively parallel sequencing. PLoS One 2012;7:e46937. [PMID: 23091603 DOI: 10.1371/journal.pone.0046937] [Cited by in Crossref: 32] [Cited by in F6Publishing: 35] [Article Influence: 2.9] [Reference Citation Analysis]
184 Mehle N, Ravnikar M. Plant viruses in aqueous environment – Survival, water mediated transmission and detection. Water Research 2012;46:4902-17. [DOI: 10.1016/j.watres.2012.07.027] [Cited by in Crossref: 42] [Cited by in F6Publishing: 42] [Article Influence: 3.8] [Reference Citation Analysis]
185 Moorthie S, Hall A, Wright CF. Informatics and clinical genome sequencing: opening the black box. Genet Med 2013;15:165-71. [PMID: 22975759 DOI: 10.1038/gim.2012.116] [Cited by in Crossref: 25] [Cited by in F6Publishing: 30] [Article Influence: 2.3] [Reference Citation Analysis]
186 Beerenwinkel N, Günthard HF, Roth V, Metzner KJ. Challenges and opportunities in estimating viral genetic diversity from next-generation sequencing data. Front Microbiol. 2012;3:329. [PMID: 22973268 DOI: 10.3389/fmicb.2012.00329] [Cited by in Crossref: 167] [Cited by in F6Publishing: 178] [Article Influence: 15.2] [Reference Citation Analysis]
187 Wit P, Pespeni MH, Ladner JT, Barshis DJ, Seneca F, Jaris H, Therkildsen NO, Morikawa M, Palumbi SR. The simple fool's guide to population genomics via RNA ‐Seq: an introduction to high‐throughput sequencing data analysis. Mol Ecol Resour 2012;12:1058-67. [DOI: 10.1111/1755-0998.12003] [Cited by in Crossref: 193] [Cited by in F6Publishing: 196] [Article Influence: 17.5] [Reference Citation Analysis]
188 Yu GJ, Wang M, Huang J, Yin YL, Chen YJ, Jiang S, Jin YX, Lan XQ, Wong BH, Liang Y, Sun H. Deep insight into the Ganoderma lucidum by comprehensive analysis of its transcriptome. PLoS One 2012;7:e44031. [PMID: 22952861 DOI: 10.1371/journal.pone.0044031] [Cited by in Crossref: 43] [Cited by in F6Publishing: 47] [Article Influence: 3.9] [Reference Citation Analysis]
189 Sahlin K, Street N, Lundeberg J, Arvestad L. Improved gap size estimation for scaffolding algorithms. Bioinformatics 2012;28:2215-22. [DOI: 10.1093/bioinformatics/bts441] [Cited by in Crossref: 17] [Cited by in F6Publishing: 17] [Article Influence: 1.5] [Reference Citation Analysis]
190 Köser CU, Ellington MJ, Cartwright EJ, Gillespie SH, Brown NM, Farrington M, Holden MT, Dougan G, Bentley SD, Parkhill J, Peacock SJ. Routine use of microbial whole genome sequencing in diagnostic and public health microbiology. PLoS Pathog 2012;8:e1002824. [PMID: 22876174 DOI: 10.1371/journal.ppat.1002824] [Cited by in Crossref: 384] [Cited by in F6Publishing: 396] [Article Influence: 34.9] [Reference Citation Analysis]
191 Maji S, Garg D. Gene Finding Using Hidden Markov Model. J of Applied Sciences 2012;12:1518-1525. [DOI: 10.3923/jas.2012.1518.1525] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.1] [Reference Citation Analysis]
192 Yalcin B, Adams DJ, Flint J, Keane TM. Next-generation sequencing of experimental mouse strains. Mamm Genome 2012;23:490-8. [PMID: 22772437 DOI: 10.1007/s00335-012-9402-6] [Cited by in Crossref: 46] [Cited by in F6Publishing: 50] [Article Influence: 4.2] [Reference Citation Analysis]
193 Medina I, De Maria A, Bleda M, Salavert F, Alonso R, Gonzalez CY, Dopazo J. VARIANT: Command Line, Web service and Web interface for fast and accurate functional characterization of variants found by Next-Generation Sequencing. Nucleic Acids Res 2012;40:W54-8. [PMID: 22693211 DOI: 10.1093/nar/gks572] [Cited by in Crossref: 35] [Cited by in F6Publishing: 35] [Article Influence: 3.2] [Reference Citation Analysis]
194 Barton MD, Barton HA. Scaffolder - software for manual genome scaffolding. Source Code Biol Med 2012;7:4. [PMID: 22640820 DOI: 10.1186/1751-0473-7-4] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 1.3] [Reference Citation Analysis]
195 Timp W, Comer J, Aksimentiev A. DNA base-calling from a nanopore using a Viterbi algorithm. Biophys J 2012;102:L37-9. [PMID: 22677395 DOI: 10.1016/j.bpj.2012.04.009] [Cited by in Crossref: 63] [Cited by in F6Publishing: 61] [Article Influence: 5.7] [Reference Citation Analysis]
196 Ouzounis CA. Rise and demise of bioinformatics? Promise and progress. PLoS Comput Biol 2012;8:e1002487. [PMID: 22570600 DOI: 10.1371/journal.pcbi.1002487] [Cited by in Crossref: 40] [Cited by in F6Publishing: 43] [Article Influence: 3.6] [Reference Citation Analysis]
197 Ye C, Ma ZS, Cannon CH, Pop M, Yu DW. Exploiting sparseness in de novo genome assembly. BMC Bioinformatics 2012;13 Suppl 6:S1. [PMID: 22537038 DOI: 10.1186/1471-2105-13-S6-S1] [Cited by in Crossref: 179] [Cited by in F6Publishing: 193] [Article Influence: 16.3] [Reference Citation Analysis]
198 Burkitt M, Walker D, Romano DM, Fazeli A. Computational modelling of maternal interactions with spermatozoa: potentials and prospects. Reprod Fertil Dev 2011;23:976-89. [PMID: 22127003 DOI: 10.1071/RD11032] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 0.5] [Reference Citation Analysis]
199 Baudhuin LM, Donato LJ, Uphoff TS. How novel molecular diagnostic technologies and biomarkers are revolutionizing genetic testing and patient care. Expert Rev Mol Diagn. 2012;12:25-37. [PMID: 22133117 DOI: 10.1586/erm.11.85] [Cited by in Crossref: 13] [Cited by in F6Publishing: 14] [Article Influence: 1.2] [Reference Citation Analysis]
200 Välimäki N, Ladra S, Mäkinen V. Approximate all-pairs suffix/prefix overlaps. Information and Computation 2012;213:49-58. [DOI: 10.1016/j.ic.2012.02.002] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 0.9] [Reference Citation Analysis]
201 Archer J, Baillie G, Watson SJ, Kellam P, Rambaut A, Robertson DL. Analysis of high-depth sequence data for studying viral diversity: a comparison of next generation sequencing platforms using Segminator II. BMC Bioinformatics 2012;13:47. [PMID: 22443413 DOI: 10.1186/1471-2105-13-47] [Cited by in Crossref: 53] [Cited by in F6Publishing: 56] [Article Influence: 4.8] [Reference Citation Analysis]
202 Kaye J. The tension between data sharing and the protection of privacy in genomics research. Annu Rev Genomics Hum Genet 2012;13:415-31. [PMID: 22404490 DOI: 10.1146/annurev-genom-082410-101454] [Cited by in Crossref: 152] [Cited by in F6Publishing: 157] [Article Influence: 13.8] [Reference Citation Analysis]
203 Lin H, Chen C, Chen Y, Chang Y, Pai T. Construction of a Taiwan Biodiversity Genetic Database in Cloud Environments. 2012 International Symposium on Biometrics and Security Technologies 2012. [DOI: 10.1109/isbast.2012.10] [Reference Citation Analysis]
204 Huang Y-, Fang X-, Lu L, Yan Y-, Chen S-, Hu L, Zhu C-, Ge X-, Shi S-. Transcriptome analysis of an invasive weed Mikania micrantha. Biologia plant 2012;56:111-6. [DOI: 10.1007/s10535-012-0024-3] [Cited by in Crossref: 13] [Cited by in F6Publishing: 3] [Article Influence: 1.2] [Reference Citation Analysis]
205 Fernández‐suárez XM. Analyzing genomic data: understanding the genome. WIREs Data Mining Knowl Discov 2012;2:116-137. [DOI: 10.1002/widm.54] [Reference Citation Analysis]
206 Ehrhardt DW, Frommer WB. New technologies for 21st century plant science. Plant Cell 2012;24:374-94. [PMID: 22366161 DOI: 10.1105/tpc.111.093302] [Cited by in Crossref: 47] [Cited by in F6Publishing: 53] [Article Influence: 4.3] [Reference Citation Analysis]
207 Tran B, Dancey JE, Kamel-reid S, Mcpherson JD, Bedard PL, Brown AM, Zhang T, Shaw P, Onetto N, Stein L, Hudson TJ, Neel BG, Siu LL. Cancer Genomics: Technology, Discovery, and Translation. JCO 2012;30:647-60. [DOI: 10.1200/jco.2011.39.2316] [Cited by in Crossref: 142] [Cited by in F6Publishing: 152] [Article Influence: 12.9] [Reference Citation Analysis]
208 Strickler SR, Bombarely A, Mueller LA. Designing a transcriptome next-generation sequencing project for a nonmodel plant species. Am J Bot 2012;99:257-66. [PMID: 22268224 DOI: 10.3732/ajb.1100292] [Cited by in Crossref: 166] [Cited by in F6Publishing: 169] [Article Influence: 15.1] [Reference Citation Analysis]
209 Terzo O, Mossucca L, Acquaviva A, Abate F, Ficarra E, Provenzano R. Reverse Engineering of TopHat: Splice Junction Mapper for Improving Computational Aspect. 2012 Third International Conference on Intelligent Systems Modelling and Simulation 2012. [DOI: 10.1109/isms.2012.76] [Reference Citation Analysis]
210 Bader D, Madduri K. Computational Challenges in Emerging Combinatorial Scientific Computing Applications. Combinatorial Scientific Computing 2012. [DOI: 10.1201/b11644-18] [Reference Citation Analysis]
211 Grote K, Werner T. Multidimensional Context of Sequence Tags: Biological Data Integration. Tag-Based Next Generation Sequencing 2012. [DOI: 10.1002/9783527644582.ch26] [Reference Citation Analysis]
212 Chen J, Kim YC, Wang SM. DGS (Ditag Genome Scanning) - A Restriction-Based Paired-End Sequencing Approach for Genome Structural Analysis. Tag-Based Next Generation Sequencing 2012. [DOI: 10.1002/9783527644582.ch16] [Reference Citation Analysis]
213 Prosdocimi F, Linard B, Pontarotti P, Poch O, Thompson JD. Controversies in modern evolutionary biology: the imperative for error detection and quality control. BMC Genomics 2012;13:5. [PMID: 22217008 DOI: 10.1186/1471-2164-13-5] [Cited by in Crossref: 33] [Cited by in F6Publishing: 33] [Article Influence: 3.0] [Reference Citation Analysis]
214 O'Brien MA, Costin BN, Miles MF. Using genome-wide expression profiling to define gene networks relevant to the study of complex traits: from RNA integrity to network topology. Int Rev Neurobiol 2012;104:91-133. [PMID: 23195313 DOI: 10.1016/B978-0-12-398323-7.00005-7] [Cited by in Crossref: 10] [Cited by in F6Publishing: 11] [Article Influence: 0.9] [Reference Citation Analysis]
215 Flagel LE, Blackman BK. The First Ten Years of Plant Genome Sequencing and Prospects for the Next Decade. Plant Genome Diversity Volume 1 2012. [DOI: 10.1007/978-3-7091-1130-7_1] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.3] [Reference Citation Analysis]
216 Giancarlo R, Scaturro D, Utro F. Textual data compression in computational biology: Algorithmic techniques. Computer Science Review 2012;6:1-25. [DOI: 10.1016/j.cosrev.2011.11.001] [Cited by in Crossref: 16] [Cited by in F6Publishing: 16] [Article Influence: 1.5] [Reference Citation Analysis]
217 Mcleod SM, Dougherty TJ, Pucci MJ. Novel Antibacterial Targets/Identification of New Targets by Comparative Genomics. Antibiotic Discovery and Development 2012. [DOI: 10.1007/978-1-4614-1400-1_27] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.1] [Reference Citation Analysis]
218 Luo H, Sun C, Sun Y, Wu Q, Li Y, Song J, Niu Y, Cheng X, Xu H, Li C, Liu J, Steinmetz A, Chen S. Analysis of the transcriptome of Panax notoginseng root uncovers putative triterpene saponin-biosynthetic genes and genetic markers. BMC Genomics 2011;12 Suppl 5:S5. [PMID: 22369100 DOI: 10.1186/1471-2164-12-S5-S5] [Cited by in Crossref: 103] [Cited by in F6Publishing: 105] [Article Influence: 8.6] [Reference Citation Analysis]
219 Treangen TJ, Salzberg SL. Repetitive DNA and next-generation sequencing: computational challenges and solutions. Nat Rev Genet. 2012;13:36-46. [PMID: 22124482 DOI: 10.1038/nrg3117] [Cited by in Crossref: 1085] [Cited by in F6Publishing: 1145] [Article Influence: 90.4] [Reference Citation Analysis]
220 Hazelhurst S, Lipták Z. KABOOM! A new suffix array based algorithm for clustering expression data. Bioinformatics 2011;27:3348-55. [PMID: 21984769 DOI: 10.1093/bioinformatics/btr560] [Cited by in Crossref: 11] [Cited by in F6Publishing: 12] [Article Influence: 0.9] [Reference Citation Analysis]
221 Cantu D, Pearce SP, Distelfeld A, Christiansen MW, Uauy C, Akhunov E, Fahima T, Dubcovsky J. Effect of the down-regulation of the high Grain Protein Content (GPC) genes on the wheat transcriptome during monocarpic senescence. BMC Genomics 2011;12:492. [PMID: 21981858 DOI: 10.1186/1471-2164-12-492] [Cited by in Crossref: 62] [Cited by in F6Publishing: 71] [Article Influence: 5.2] [Reference Citation Analysis]
222 Marine R, Polson SW, Ravel J, Hatfull G, Russell D, Sullivan M, Syed F, Dumas M, Wommack KE. Evaluation of a transposase protocol for rapid generation of shotgun high-throughput sequencing libraries from nanogram quantities of DNA. Appl Environ Microbiol 2011;77:8071-9. [PMID: 21948828 DOI: 10.1128/AEM.05610-11] [Cited by in Crossref: 79] [Cited by in F6Publishing: 81] [Article Influence: 6.6] [Reference Citation Analysis]
223 Earl D, Bradnam K, St John J, Darling A, Lin D, Fass J, Yu HO, Buffalo V, Zerbino DR, Diekhans M, Nguyen N, Ariyaratne PN, Sung WK, Ning Z, Haimel M, Simpson JT, Fonseca NA, Birol İ, Docking TR, Ho IY, Rokhsar DS, Chikhi R, Lavenier D, Chapuis G, Naquin D, Maillet N, Schatz MC, Kelley DR, Phillippy AM, Koren S, Yang SP, Wu W, Chou WC, Srivastava A, Shaw TI, Ruby JG, Skewes-Cox P, Betegon M, Dimon MT, Solovyev V, Seledtsov I, Kosarev P, Vorobyev D, Ramirez-Gonzalez R, Leggett R, MacLean D, Xia F, Luo R, Li Z, Xie Y, Liu B, Gnerre S, MacCallum I, Przybylski D, Ribeiro FJ, Yin S, Sharpe T, Hall G, Kersey PJ, Durbin R, Jackman SD, Chapman JA, Huang X, DeRisi JL, Caccamo M, Li Y, Jaffe DB, Green RE, Haussler D, Korf I, Paten B. Assemblathon 1: a competitive assessment of de novo short read assembly methods. Genome Res 2011;21:2224-41. [PMID: 21926179 DOI: 10.1101/gr.126599.111] [Cited by in Crossref: 374] [Cited by in F6Publishing: 392] [Article Influence: 31.2] [Reference Citation Analysis]
224 Earl D, Bradnam K, St John J, Darling A, Lin D, Fass J, Yu HO, Buffalo V, Zerbino DR, Diekhans M. Assemblathon 1: a competitive assessment of de novo short read assembly methods. Genome Res. 2011;21:2224-2241. [PMID: 21926179 DOI: 10.1101/gr.126599] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
225 Natrajan R, Reis-Filho JS. Next-generation sequencing applied to molecular diagnostics. Expert Rev Mol Diagn 2011;11:425-44. [PMID: 21545259 DOI: 10.1586/erm.11.18] [Cited by in Crossref: 28] [Cited by in F6Publishing: 31] [Article Influence: 2.3] [Reference Citation Analysis]
226 Pérez-Enciso M, Ferretti L. Massive parallel sequencing in animal genetics: wherefroms and wheretos. Anim Genet 2010;41:561-9. [PMID: 20477787 DOI: 10.1111/j.1365-2052.2010.02057.x] [Cited by in Crossref: 35] [Cited by in F6Publishing: 38] [Article Influence: 2.9] [Reference Citation Analysis]
227 Chapman JA, Ho I, Sunkara S, Luo S, Schroth GP, Rokhsar DS. Meraculous: de novo genome assembly with short paired-end reads. PLoS One 2011;6:e23501. [PMID: 21876754 DOI: 10.1371/journal.pone.0023501] [Cited by in Crossref: 157] [Cited by in F6Publishing: 160] [Article Influence: 13.1] [Reference Citation Analysis]
228 Rosen GL, Sokhansanj BA, Polikar R, Bruns MA, Russell J, Garbarine E, Essinger S, Yok N. Signal processing for metagenomics: extracting information from the soup. Curr Genomics 2009;10:493-510. [PMID: 20436876 DOI: 10.2174/138920209789208255] [Cited by in Crossref: 25] [Cited by in F6Publishing: 12] [Article Influence: 2.1] [Reference Citation Analysis]
229 Treangen TJ, Sommer DD, Angly FE, Koren S, Pop M. Next generation sequence assembly with AMOS. Curr Protoc Bioinformatics 2011;Chapter 11:Unit 11.8. [PMID: 21400694 DOI: 10.1002/0471250953.bi1108s33] [Cited by in Crossref: 129] [Cited by in F6Publishing: 157] [Article Influence: 10.8] [Reference Citation Analysis]
230 Bao S, Jiang R, Kwan W, Wang B, Ma X, Song YQ. WITHDRAWN: Evaluation of next-generation sequencing software in mapping and assembly. J Hum Genet 2011. [PMID: 21677664 DOI: 10.1038/jhg.2011.62] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.2] [Reference Citation Analysis]
231 Kaur S, Cogan NO, Pembleton LW, Shinozuka M, Savin KW, Materne M, Forster JW. Transcriptome sequencing of lentil based on second-generation technology permits large-scale unigene assembly and SSR marker discovery. BMC Genomics 2011;12:265. [PMID: 21609489 DOI: 10.1186/1471-2164-12-265] [Cited by in Crossref: 144] [Cited by in F6Publishing: 150] [Article Influence: 12.0] [Reference Citation Analysis]
232 Fernandes F, da Fonseca PG, Russo LM, Oliveira AL, Freitas AT. Efficient alignment of pyrosequencing reads for re-sequencing applications. BMC Bioinformatics 2011;12:163. [PMID: 21672185 DOI: 10.1186/1471-2105-12-163] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 0.7] [Reference Citation Analysis]
233 Garbarine E, DePasquale J, Gadia V, Polikar R, Rosen G. Information-theoretic approaches to SVM feature selection for metagenome read classification. Comput Biol Chem 2011;35:199-209. [PMID: 21704267 DOI: 10.1016/j.compbiolchem.2011.04.007] [Cited by in Crossref: 14] [Cited by in F6Publishing: 16] [Article Influence: 1.2] [Reference Citation Analysis]
234 Bao S, Jiang R, Kwan W, Wang B, Ma X, Song YQ. Evaluation of next-generation sequencing software in mapping and assembly. J Hum Genet 2011;56:406-14. [PMID: 21525877 DOI: 10.1038/jhg.2011.43] [Cited by in Crossref: 91] [Cited by in F6Publishing: 101] [Article Influence: 7.6] [Reference Citation Analysis]
235 Etter PD, Preston JL, Bassham S, Cresko WA, Johnson EA. Local de novo assembly of RAD paired-end contigs using short sequencing reads. PLoS One 2011;6:e18561. [PMID: 21541009 DOI: 10.1371/journal.pone.0018561] [Cited by in Crossref: 169] [Cited by in F6Publishing: 174] [Article Influence: 14.1] [Reference Citation Analysis]
236 Thompson JD, Linard B, Lecompte O, Poch O. A comprehensive benchmark study of multiple sequence alignment methods: current challenges and future perspectives. PLoS One 2011;6:e18093. [PMID: 21483869 DOI: 10.1371/journal.pone.0018093] [Cited by in Crossref: 162] [Cited by in F6Publishing: 164] [Article Influence: 13.5] [Reference Citation Analysis]
237 Zhang J, Chiodini R, Badr A, Zhang G. The impact of next-generation sequencing on genomics. J Genet Genomics. 2011;38:95-109. [PMID: 21477781 DOI: 10.1016/j.jgg.2011.02.003] [Cited by in Crossref: 360] [Cited by in F6Publishing: 370] [Article Influence: 30.0] [Reference Citation Analysis]
238 Pyon YS, Hayes M, Li J. Model based clustering approach for identifying structural variation using next generation sequencing data. 2011 IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences (ICCABS) 2011. [DOI: 10.1109/iccabs.2011.5729871] [Reference Citation Analysis]
239 Kimbrel JA, Givan SA, Temple TN, Johnson KB, Chang JH. Genome sequencing and comparative analysis of the carrot bacterial blight pathogen, Xanthomonas hortorum pv. carotae M081, for insights into pathogenicity and applications in molecular diagnostics. Mol Plant Pathol 2011;12:580-94. [PMID: 21722296 DOI: 10.1111/j.1364-3703.2010.00694.x] [Cited by in Crossref: 13] [Cited by in F6Publishing: 14] [Article Influence: 1.1] [Reference Citation Analysis]
240 Andolfatto P, Davison D, Erezyilmaz D, Hu TT, Mast J, Sunayama-Morita T, Stern DL. Multiplexed shotgun genotyping for rapid and efficient genetic mapping. Genome Res 2011;21:610-7. [PMID: 21233398 DOI: 10.1101/gr.115402.110] [Cited by in Crossref: 331] [Cited by in F6Publishing: 338] [Article Influence: 27.6] [Reference Citation Analysis]
241 Xiao X, Lee JH. Systems analysis of alternative splicing and its regulation. Wiley Interdiscip Rev Syst Biol Med 2010;2:550-65. [PMID: 20836047 DOI: 10.1002/wsbm.84] [Cited by in Crossref: 11] [Cited by in F6Publishing: 12] [Article Influence: 0.9] [Reference Citation Analysis]
242 Mantooth SJ, Riddle BR. Molecular Biogeography: The Intersection between Geographic and Molecular Variation: The intersection between geographic and molecular variation. Geography Compass 2011;5:1-20. [DOI: 10.1111/j.1749-8198.2009.00297.x] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 1.0] [Reference Citation Analysis]
243 Walkowiak S, Ligowski L, Wawruch K, Rudnicki WR. Design of the Efficient Archival Warehouse for Weather Forecast System. Information Technologies in Environmental Engineering 2011. [DOI: 10.1007/978-3-642-19536-5_58] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.1] [Reference Citation Analysis]
244 Timp G, Mirsaidov U, Timp W, Shim J, Wang D, Dimitrov V, Scrimgeour J, Lin C, Comer J, Ho AH, Zou X, Aksimentiev A, Schulten K. Third Generation DNA Sequencing with a Nanopore. Nanopores 2011. [DOI: 10.1007/978-1-4419-8252-0_12] [Reference Citation Analysis]
245 Archer J, Rambaut A, Taillon BE, Harrigan PR, Lewis M, Robertson DL. The evolutionary analysis of emerging low frequency HIV-1 CXCR4 using variants through time--an ultra-deep approach. PLoS Comput Biol 2010;6:e1001022. [PMID: 21187908 DOI: 10.1371/journal.pcbi.1001022] [Cited by in Crossref: 62] [Cited by in F6Publishing: 64] [Article Influence: 4.8] [Reference Citation Analysis]
246 Ku CS, Naidoo N, Hartman M, Pawitan Y. Cancer Genome Sequencing. eLS 2010. [DOI: 10.1002/9780470015902.a0023262] [Reference Citation Analysis]
247 Ralha C, Schneider HW, Walter ME, Cetertich Bazzan AL. Reinforcement Learning Method for BioAgents. 2010 Eleventh Brazilian Symposium on Neural Networks 2010. [DOI: 10.1109/sbrn.2010.27] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.2] [Reference Citation Analysis]
248 Benaglio P, Rivolta C. Ultra high throughput sequencing in human DNA variation detection: a comparative study on the NDUFA3-PRPF31 region. PLoS One 2010;5:e13071. [PMID: 20927379 DOI: 10.1371/journal.pone.0013071] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 0.5] [Reference Citation Analysis]
249 Kimbrel JA, Givan SA, Halgren AB, Creason AL, Mills DI, Banowetz GM, Armstrong DJ, Chang JH. An improved, high-quality draft genome sequence of the Germination-Arrest Factor-producing Pseudomonas fluorescens WH6. BMC Genomics 2010;11:522. [PMID: 20920191 DOI: 10.1186/1471-2164-11-522] [Cited by in Crossref: 47] [Cited by in F6Publishing: 50] [Article Influence: 3.6] [Reference Citation Analysis]
250 Shi H, Schmidt B, Liu W, Müller-Wittig W. A parallel algorithm for error correction in high-throughput short-read data on CUDA-enabled graphics hardware. J Comput Biol 2010;17:603-15. [PMID: 20426693 DOI: 10.1089/cmb.2009.0062] [Cited by in Crossref: 46] [Cited by in F6Publishing: 48] [Article Influence: 3.5] [Reference Citation Analysis]
251 Knudsen B, Forsberg R, Miyamoto MM. A computer simulator for assessing different challenges and strategies of de novo sequence assembly. Genes (Basel) 2010;1:263-82. [PMID: 24710045 DOI: 10.3390/genes1020263] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 0.8] [Reference Citation Analysis]
252 Trifonov V, Rabadan R. Frequency analysis techniques for identification of viral genetic data. mBio 2010;1:e00156-10. [PMID: 20824103 DOI: 10.1128/mBio.00156-10] [Cited by in Crossref: 18] [Cited by in F6Publishing: 20] [Article Influence: 1.4] [Reference Citation Analysis]
253 Paszkiewicz K, Studholme DJ. De novo assembly of short sequence reads. Briefings in Bioinformatics 2010;11:457-72. [DOI: 10.1093/bib/bbq020] [Cited by in Crossref: 130] [Cited by in F6Publishing: 134] [Article Influence: 10.0] [Reference Citation Analysis]
254 Bräutigam A, Gowik U. What can next generation sequencing do for you? Next generation sequencing as a valuable tool in plant research: Next generation sequencing. Plant Biology 2010;12:831-41. [DOI: 10.1111/j.1438-8677.2010.00373.x] [Cited by in Crossref: 125] [Cited by in F6Publishing: 127] [Article Influence: 9.6] [Reference Citation Analysis]
255 Aniba MR, Poch O, Thompson JD. Issues in bioinformatics benchmarking: the case study of multiple sequence alignment. Nucleic Acids Res 2010;38:7353-63. [PMID: 20639539 DOI: 10.1093/nar/gkq625] [Cited by in Crossref: 52] [Cited by in F6Publishing: 52] [Article Influence: 4.0] [Reference Citation Analysis]
256 Cahill MJ, Köser CU, Ross NE, Archer JA. Read length and repeat resolution: exploring prokaryote genomes using next-generation sequencing technologies. PLoS One 2010;5:e11518. [PMID: 20634954 DOI: 10.1371/journal.pone.0011518] [Cited by in Crossref: 29] [Cited by in F6Publishing: 29] [Article Influence: 2.2] [Reference Citation Analysis]
257 Deschamps S, Rota M, Ratashak JP, Biddle P, Thureen D, Farmer A, Luck S, Beatty M, Nagasawa N, Michael L, Llaca V, Sakai H, May G, Lightner J, Campbell MA. Rapid Genome‐wide Single Nucleotide Polymorphism Discovery in Soybean and Rice via Deep Resequencing of Reduced Representation Libraries with the Illumina Genome Analyzer. Plant Genome 2010;3. [DOI: 10.3835/plantgenome2009.09.0026] [Cited by in Crossref: 44] [Cited by in F6Publishing: 44] [Article Influence: 3.4] [Reference Citation Analysis]
258 Zagordi O, Geyrhofer L, Roth V, Beerenwinkel N. Deep sequencing of a genetically heterogeneous sample: local haplotype reconstruction and read error correction. J Comput Biol 2010;17:417-28. [PMID: 20377454 DOI: 10.1089/cmb.2009.0164] [Cited by in Crossref: 70] [Cited by in F6Publishing: 56] [Article Influence: 5.4] [Reference Citation Analysis]
259 de Magalhães JP, Finch CE, Janssens G. Next-generation sequencing in aging research: emerging applications, problems, pitfalls and possible solutions. Ageing Res Rev 2010;9:315-23. [PMID: 19900591 DOI: 10.1016/j.arr.2009.10.006] [Cited by in Crossref: 74] [Cited by in F6Publishing: 54] [Article Influence: 5.7] [Reference Citation Analysis]
260 Hirsch PR, Mauchline TH, Clark IM. Culture-independent molecular techniques for soil microbial ecology. Soil Biology and Biochemistry 2010;42:878-87. [DOI: 10.1016/j.soilbio.2010.02.019] [Cited by in Crossref: 163] [Cited by in F6Publishing: 163] [Article Influence: 12.5] [Reference Citation Analysis]
261 De Schrijver JM, De Leeneer K, Lefever S, Sabbe N, Pattyn F, Van Nieuwerburgh F, Coucke P, Deforce D, Vandesompele J, Bekaert S, Hellemans J, Van Criekinge W. Analysing 454 amplicon resequencing experiments using the modular and database oriented Variant Identification Pipeline. BMC Bioinformatics 2010;11:269. [PMID: 20487544 DOI: 10.1186/1471-2105-11-269] [Cited by in Crossref: 13] [Cited by in F6Publishing: 14] [Article Influence: 1.0] [Reference Citation Analysis]
262 Hawkins T, Chitale M, Kihara D. Functional enrichment analyses and construction of functional similarity networks with high confidence function prediction by PFP. BMC Bioinformatics 2010;11:265. [PMID: 20482861 DOI: 10.1186/1471-2105-11-265] [Cited by in Crossref: 16] [Cited by in F6Publishing: 16] [Article Influence: 1.2] [Reference Citation Analysis]
263 Kircher M, Kelso J. High-throughput DNA sequencing - concepts and limitations. Bioessays 2010;32:524-36. [DOI: 10.1002/bies.200900181] [Cited by in Crossref: 413] [Cited by in F6Publishing: 425] [Article Influence: 31.8] [Reference Citation Analysis]
264 Cannon CH, Kua CS, Zhang D, Harting JR. Assembly free comparative genomics of short-read sequence data discovers the needles in the haystack. Mol Ecol 2010;19 Suppl 1:147-61. [PMID: 20331777 DOI: 10.1111/j.1365-294X.2009.04484.x] [Cited by in Crossref: 17] [Cited by in F6Publishing: 21] [Article Influence: 1.3] [Reference Citation Analysis]
265 Shi H, Schmidt B, Liu W, Müller-wittig W. Quality-score guided error correction for short-read sequencing data using CUDA. Procedia Computer Science 2010;1:1129-38. [DOI: 10.1016/j.procs.2010.04.125] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 0.8] [Reference Citation Analysis]
266 Wang D, Bodovitz S. Single cell analysis: the new frontier in 'omics'. Trends Biotechnol 2010;28:281-90. [PMID: 20434785 DOI: 10.1016/j.tibtech.2010.03.002] [Cited by in Crossref: 528] [Cited by in F6Publishing: 434] [Article Influence: 40.6] [Reference Citation Analysis]
267 Chee‐seng K, En Yun L, Yudi P, Kee‐seng C. Next Generation Sequencing Technologies and Their Applications. eLS 2010. [DOI: 10.1002/9780470015902.a0022508] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.2] [Reference Citation Analysis]
268 Nishito Y, Osana Y, Hachiya T, Popendorf K, Toyoda A, Fujiyama A, Itaya M, Sakakibara Y. Whole genome assembly of a natto production strain Bacillus subtilis natto from very short read data. BMC Genomics 2010;11:243. [PMID: 20398357 DOI: 10.1186/1471-2164-11-243] [Cited by in Crossref: 72] [Cited by in F6Publishing: 72] [Article Influence: 5.5] [Reference Citation Analysis]
269 Parchman TL, Geist KS, Grahnen JA, Benkman CW, Buerkle CA. Transcriptome sequencing in an ecologically important tree species: assembly, annotation, and marker discovery. BMC Genomics 2010;11:180. [PMID: 20233449 DOI: 10.1186/1471-2164-11-180] [Cited by in Crossref: 327] [Cited by in F6Publishing: 341] [Article Influence: 25.2] [Reference Citation Analysis]
270 Parchman TL, Geist KS, Grahnen JA, Benkman CW, Buerkle CA. Transcriptome sequencing in an ecologically important tree species: assembly, annotation, and marker discovery. BMC Genomics 2010;11:180. [PMID: 20233449 DOI: 10.1186/1471-2164-11-180] [Cited by in Crossref: 323] [Cited by in F6Publishing: 2] [Article Influence: 24.8] [Reference Citation Analysis]
271 Miller JR, Koren S, Sutton G. Assembly algorithms for next-generation sequencing data. Genomics. 2010;95:315-327. [PMID: 20211242 DOI: 10.1016/j.ygeno.2010.03.001] [Cited by in Crossref: 770] [Cited by in F6Publishing: 807] [Article Influence: 59.2] [Reference Citation Analysis]
272 Nederbragt AJ, Rounge TB, Kausrud KL, Jakobsen KS. Identification and Quantification of Genomic Repeats and Sample Contamination in Assemblies of 454 Pyrosequencing Reads. Sequencing 2010;2010:1-12. [DOI: 10.1155/2010/782465] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 0.9] [Reference Citation Analysis]
273 Husemann P, Stoye J. Phylogenetic comparative assembly. Algorithms Mol Biol 2010;5:3. [PMID: 20047659 DOI: 10.1186/1748-7188-5-3] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 1.0] [Reference Citation Analysis]
274 Isshiki M, Kodama H. Plant RNAi and Crop Improvement. Molecular Techniques in Crop Improvement 2010. [DOI: 10.1007/978-90-481-2967-6_28] [Reference Citation Analysis]
275 Lee SY, Park JH. Integration of Systems Biology with Bioprocess Engineering: l-Threonine Production by Systems Metabolic Engineering of Escherichia Coli. Biosystems Engineering I 2010. [DOI: 10.1007/10_2009_57] [Cited by in Crossref: 2] [Cited by in F6Publishing: 8] [Article Influence: 0.2] [Reference Citation Analysis]
276 Välimäki N, Ladra S, Mäkinen V. Approximate All-Pairs Suffix/Prefix Overlaps. Combinatorial Pattern Matching 2010. [DOI: 10.1007/978-3-642-13509-5_8] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 0.5] [Reference Citation Analysis]
277 Fournier P, Raoult D. Bacterial genomes. Infectious Diseases 2010. [DOI: 10.1016/b978-0-323-04579-7.00007-1] [Reference Citation Analysis]
278 Prabhakara S, Acharya R. SIMCOMP: A Hybrid Soft Clustering of Metagenome Reads. Pattern Recognition in Bioinformatics 2010. [DOI: 10.1007/978-3-642-16001-1_10] [Cited by in Crossref: 2] [Article Influence: 0.2] [Reference Citation Analysis]
279 Nagarajan N, Pop M. Sequencing and genome assembly using next-generation technologies. Methods Mol Biol 2010;673:1-17. [PMID: 20835789 DOI: 10.1007/978-1-60761-842-3_1] [Cited by in Crossref: 42] [Cited by in F6Publishing: 42] [Article Influence: 3.2] [Reference Citation Analysis]
280 Sintchenko V. Informatics for Infectious Disease Research and Control. Infectious Disease Informatics 2010. [DOI: 10.1007/978-1-4419-1327-2_1] [Cited by in Crossref: 1] [Article Influence: 0.1] [Reference Citation Analysis]
281 Jameson JL, Kopp P. Applications of Genetics in Endocrinology. Endocrinology 2010. [DOI: 10.1016/b978-1-4160-5583-9.00007-1] [Reference Citation Analysis]
282 Metzker ML. Sequencing technologies — the next generation. Nat Rev Genet 2010;11:31-46. [DOI: 10.1038/nrg2626] [Cited by in Crossref: 4795] [Cited by in F6Publishing: 4998] [Article Influence: 342.5] [Reference Citation Analysis]
283 Deschamps S, Campbell MA. Utilization of next-generation sequencing platforms in plant genomics and genetic variant discovery. Mol Breeding 2010;25:553-70. [DOI: 10.1007/s11032-009-9357-9] [Cited by in Crossref: 93] [Cited by in F6Publishing: 36] [Article Influence: 6.6] [Reference Citation Analysis]
284 Xu M, Fujita D, Hanagata N. Perspectives and Challenges of Emerging Single-Molecule DNA Sequencing Technologies. Small 2009;5:2638-49. [DOI: 10.1002/smll.200900976] [Cited by in Crossref: 80] [Cited by in F6Publishing: 82] [Article Influence: 5.7] [Reference Citation Analysis]
285 Gómez-díaz E. Linking questions to practices in the study of microbial pathogens: Sampling bias and typing methods. Infection, Genetics and Evolution 2009;9:1418-23. [DOI: 10.1016/j.meegid.2009.08.008] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 0.5] [Reference Citation Analysis]
286 Rio Frio T, McGee TL, Wade NM, Iseli C, Beckmann JS, Berson EL, Rivolta C. A single-base substitution within an intronic repetitive element causes dominant retinitis pigmentosa with reduced penetrance. Hum Mutat 2009;30:1340-7. [PMID: 19618371 DOI: 10.1002/humu.21071] [Cited by in Crossref: 35] [Cited by in F6Publishing: 39] [Article Influence: 2.5] [Reference Citation Analysis]
287 Asmann YW, Klee EW, Thompson EA, Perez EA, Middha S, Oberg AL, Therneau TM, Smith DI, Poland GA, Wieben ED, Kocher JP. 3' tag digital gene expression profiling of human brain and universal reference RNA using Illumina Genome Analyzer. BMC Genomics 2009;10:531. [PMID: 19917133 DOI: 10.1186/1471-2164-10-531] [Cited by in Crossref: 131] [Cited by in F6Publishing: 139] [Article Influence: 9.4] [Reference Citation Analysis]
288 Lievens B, van Kerckhove S, Justé A, Cammue BP, Honnay O, Jacquemyn H. From extensive clone libraries to comprehensive DNA arrays for the efficient and simultaneous detection and identification of orchid mycorrhizal fungi. J Microbiol Methods 2010;80:76-85. [PMID: 19914306 DOI: 10.1016/j.mimet.2009.11.004] [Cited by in Crossref: 27] [Cited by in F6Publishing: 22] [Article Influence: 1.9] [Reference Citation Analysis]
289 Kantardjieff A, Nissom PM, Chuah SH, Yusufi F, Jacob NM, Mulukutla BC, Yap M, Hu W. Developing genomic platforms for Chinese hamster ovary cells. Biotechnology Advances 2009;27:1028-35. [DOI: 10.1016/j.biotechadv.2009.05.023] [Cited by in Crossref: 47] [Cited by in F6Publishing: 40] [Article Influence: 3.4] [Reference Citation Analysis]
290 Arner E, Hayashizaki Y, Daub CO. NGSView: an extensible open source editor for next-generation sequencing data. Bioinformatics 2010;26:125-6. [PMID: 19855106 DOI: 10.1093/bioinformatics/btp611] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 0.6] [Reference Citation Analysis]
291 Yasukochi Y, Tanaka-Okuyama M, Shibata F, Yoshido A, Marec F, Wu C, Zhang H, Goldsmith MR, Sahara K. Extensive conserved synteny of genes between the karyotypes of Manduca sexta and Bombyx mori revealed by BAC-FISH mapping. PLoS One 2009;4:e7465. [PMID: 19829706 DOI: 10.1371/journal.pone.0007465] [Cited by in Crossref: 37] [Cited by in F6Publishing: 38] [Article Influence: 2.6] [Reference Citation Analysis]
292 Nishant KT, Singh ND, Alani E. Genomic mutation rates: what high-throughput methods can tell us. Bioessays 2009;31:912-20. [PMID: 19644920 DOI: 10.1002/bies.200900017] [Cited by in Crossref: 44] [Cited by in F6Publishing: 44] [Article Influence: 3.1] [Reference Citation Analysis]
293 Nguyen VH, Lavenier D. PLAST: parallel local alignment search tool for database comparison. BMC Bioinformatics 2009;10:329. [PMID: 19821978 DOI: 10.1186/1471-2105-10-329] [Cited by in Crossref: 46] [Cited by in F6Publishing: 44] [Article Influence: 3.3] [Reference Citation Analysis]
294 Kosakovsky Pond S, Wadhawan S, Chiaromonte F, Ananda G, Chung WY, Taylor J, Nekrutenko A; Galaxy Team. Windshield splatter analysis with the Galaxy metagenomic pipeline. Genome Res 2009;19:2144-53. [PMID: 19819906 DOI: 10.1101/gr.094508.109] [Cited by in Crossref: 58] [Cited by in F6Publishing: 62] [Article Influence: 4.1] [Reference Citation Analysis]
295 Lott M, Spillner A, Huber KT, Petri A, Oxelman B, Moulton V. Inferring polyploid phylogenies from multiply-labeled gene trees. BMC Evol Biol 2009;9:216. [PMID: 19715596 DOI: 10.1186/1471-2148-9-216] [Cited by in Crossref: 41] [Cited by in F6Publishing: 40] [Article Influence: 2.9] [Reference Citation Analysis]
296 Pritchard L, Liu H, Booth C, Douglas E, François P, Schrenzel J, Hedley PE, Birch PR, Toth IK. Microarray comparative genomic hybridisation analysis incorporating genomic organisation, and application to enterobacterial plant pathogens. PLoS Comput Biol 2009;5:e1000473. [PMID: 19696881 DOI: 10.1371/journal.pcbi.1000473] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 0.6] [Reference Citation Analysis]
297 Arendt D, Denes AS, Jékely G, Tessmar-raible K. The evolution of nervous system centralization. Animal Evolution 2009. [DOI: 10.1093/acprof:oso/9780199549429.003.0007] [Reference Citation Analysis]
298 . Contributors. Animal Evolution 2009. [DOI: 10.1093/acprof:oso/9780199549429.002.0007] [Reference Citation Analysis]
299 Peterson KJ, Cotton JA, Gehling JG, Pisani D. The Ediacaran emergence of bilaterians: congruence between the genetic and the geological fossil records. Animal Evolution 2009. [DOI: 10.1093/acprof:oso/9780199549429.003.0002] [Reference Citation Analysis]
300 . Introduction. Animal Evolution 2009. [DOI: 10.1093/acprof:oso/9780199549429.002.0008] [Reference Citation Analysis]
301 Nichols SA, Dayel MJ, King N. Genomic, phylogenetic, and cell biological insights into metazoan origins. Animal Evolution 2009. [DOI: 10.1093/acprof:oso/9780199549429.003.0003] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 0.9] [Reference Citation Analysis]
302 Lowe CJ. Molecular genetic insights into deuterostome evolution from the direct-developing hemichordate Saccoglossus kowalevskii. Animal Evolution 2009. [DOI: 10.1093/acprof:oso/9780199549429.003.0010] [Reference Citation Analysis]
303 Budd GE. The earliest fossil record of the animals and its significance. Animal Evolution 2009. [DOI: 10.1093/acprof:oso/9780199549429.003.0001] [Reference Citation Analysis]
304 Animal Evolution. 2009. [DOI: 10.1093/acprof:oso/9780199549429.001.0001] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 0.3] [Reference Citation Analysis]
305 . Foreword. Animal Evolution 2009. [DOI: 10.1093/acprof:oso/9780199549429.002.0004] [Reference Citation Analysis]
306 Beldade P, Saenko SV. Conserved developmental processes and the evolution of novel traits: wounds, embryos, veins, and butterfly eyespots. Animal Evolution 2009. [DOI: 10.1093/acprof:oso/9780199549429.003.0017] [Reference Citation Analysis]
307 Raff RA. Origins of metazoan body plans: the larval revolution. Animal Evolution 2009. [DOI: 10.1093/acprof:oso/9780199549429.003.0005] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.1] [Reference Citation Analysis]
308 Lartillot N, Philippe H. Improvement of molecular phylogenetic inference and the phylogeny of Bilateria. Animal Evolution 2009. [DOI: 10.1093/acprof:oso/9780199549429.003.0012] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.1] [Reference Citation Analysis]
309 Jenner RA, Timothy D, Littlewood J. Invertebrate Problematica: kinds, causes, and solutions. Animal Evolution 2009. [DOI: 10.1093/acprof:oso/9780199549429.003.0011] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.1] [Reference Citation Analysis]
310 Peel AD. The evolution of developmental gene networks: lessons from comparative studies on holometabolous insects. Animal Evolution 2009. [DOI: 10.1093/acprof:oso/9780199549429.003.0016] [Reference Citation Analysis]
311 . Copyright Page. Animal Evolution 2009. [DOI: 10.1093/acprof:oso/9780199549429.002.0003] [Reference Citation Analysis]
312 Bozdag S, Close TJ, Lonardi S. A compartmentalized approach to the assembly of physical maps. BMC Bioinformatics 2009;10:217. [PMID: 19604400 DOI: 10.1186/1471-2105-10-217] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.1] [Reference Citation Analysis]
313 Du J, Bjornson RD, Zhang ZD, Kong Y, Snyder M, Gerstein MB. Integrating sequencing technologies in personal genomics: optimal low cost reconstruction of structural variants. PLoS Comput Biol 2009;5:e1000432. [PMID: 19593373 DOI: 10.1371/journal.pcbi.1000432] [Cited by in Crossref: 14] [Cited by in F6Publishing: 15] [Article Influence: 1.0] [Reference Citation Analysis]
314 Dassanayake M, Haas JS, Bohnert HJ, Cheeseman JM. Shedding light on an extremophile lifestyle through transcriptomics. New Phytol 2009;183:764-75. [PMID: 19549131 DOI: 10.1111/j.1469-8137.2009.02913.x] [Cited by in Crossref: 90] [Cited by in F6Publishing: 92] [Article Influence: 6.4] [Reference Citation Analysis]
315 Schröder J, Schröder H, Puglisi SJ, Sinha R, Schmidt B. SHREC: a short-read error correction method. Bioinformatics 2009;25:2157-63. [PMID: 19542152 DOI: 10.1093/bioinformatics/btp379] [Cited by in Crossref: 111] [Cited by in F6Publishing: 115] [Article Influence: 7.9] [Reference Citation Analysis]
316 Archer J, Braverman MS, Taillon BE, Desany B, James I, Harrigan PR, Lewis M, Robertson DL. Detection of low-frequency pretherapy chemokine (CXC motif) receptor 4 (CXCR4)-using HIV-1 with ultra-deep pyrosequencing. AIDS 2009;23:1209-18. [PMID: 19424056 DOI: 10.1097/QAD.0b013e32832b4399] [Cited by in Crossref: 90] [Cited by in F6Publishing: 98] [Article Influence: 6.4] [Reference Citation Analysis]
317 Estill JC, Bennetzen JL. The DAWGPAWS pipeline for the annotation of genes and transposable elements in plant genomes. Plant Methods 2009;5:8. [PMID: 19545381 DOI: 10.1186/1746-4811-5-8] [Cited by in Crossref: 17] [Cited by in F6Publishing: 19] [Article Influence: 1.2] [Reference Citation Analysis]
318 Schmidt B, Sinha R, Beresford-Smith B, Puglisi SJ. A fast hybrid short read fragment assembly algorithm. Bioinformatics 2009;25:2279-80. [PMID: 19535537 DOI: 10.1093/bioinformatics/btp374] [Cited by in Crossref: 41] [Cited by in F6Publishing: 42] [Article Influence: 2.9] [Reference Citation Analysis]
319 Pop M. Genome assembly reborn: recent computational challenges. Brief Bioinform. 2009;10:354-366. [PMID: 19482960 DOI: 10.1093/bib/bbp026] [Cited by in Crossref: 233] [Cited by in F6Publishing: 244] [Article Influence: 16.6] [Reference Citation Analysis]
320 Fullwood MJ, Wei CL, Liu ET, Ruan Y. Next-generation DNA sequencing of paired-end tags (PET) for transcriptome and genome analyses. Genome Res 2009;19:521-32. [PMID: 19339662 DOI: 10.1101/gr.074906.107] [Cited by in Crossref: 249] [Cited by in F6Publishing: 259] [Article Influence: 17.8] [Reference Citation Analysis]
321 Hormozdiari F, Alkan C, Eichler EE, Sahinalp SC. Combinatorial algorithms for structural variation detection in high-throughput sequenced genomes. Genome Res 2009;19:1270-8. [PMID: 19447966 DOI: 10.1101/gr.088633.108] [Cited by in Crossref: 232] [Cited by in F6Publishing: 243] [Article Influence: 16.6] [Reference Citation Analysis]
322 Kofler R, Teixeira Torres T, Lelley T, Schlötterer C. PanGEA: identification of allele specific gene expression using the 454 technology. BMC Bioinformatics 2009;10:143. [PMID: 19442283 DOI: 10.1186/1471-2105-10-143] [Cited by in Crossref: 20] [Cited by in F6Publishing: 20] [Article Influence: 1.4] [Reference Citation Analysis]
323 Van-hoa Nguyen, Cornu A, Lavenier D. Implementing protein seed-based comparison algorithm on the SGI RASC-100 platform. 2009 IEEE International Symposium on Parallel & Distributed Processing 2009. [DOI: 10.1109/ipdps.2009.5161206] [Reference Citation Analysis]
324 Haixiang Shi, Schmidt B, Weiguo Liu, Muller-wittig W. Accelerating error correction in high-throughput short-read DNA sequencing data with CUDA. 2009 IEEE International Symposium on Parallel & Distributed Processing 2009. [DOI: 10.1109/ipdps.2009.5160924] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.1] [Reference Citation Analysis]
325 Imelfort M, Duran C, Batley J, Edwards D. Discovering genetic polymorphisms in next-generation sequencing data. Plant Biotechnology Journal 2009;7:312-7. [DOI: 10.1111/j.1467-7652.2009.00406.x] [Cited by in Crossref: 93] [Cited by in F6Publishing: 96] [Article Influence: 6.6] [Reference Citation Analysis]
326 Khan Z, Bloom JS, Kruglyak L, Singh M. A practical algorithm for finding maximal exact matches in large sequence datasets using sparse suffix arrays. Bioinformatics 2009;25:1609-16. [PMID: 19389736 DOI: 10.1093/bioinformatics/btp275] [Cited by in Crossref: 39] [Cited by in F6Publishing: 39] [Article Influence: 2.8] [Reference Citation Analysis]
327 Qi W, Nong G, Preston JF, Ben-Ami F, Ebert D. Comparative metagenomics of Daphnia symbionts. BMC Genomics 2009;10:172. [PMID: 19383155 DOI: 10.1186/1471-2164-10-172] [Cited by in Crossref: 64] [Cited by in F6Publishing: 66] [Article Influence: 4.6] [Reference Citation Analysis]
328 MacLean D, Jones JD, Studholme DJ. Application of 'next-generation' sequencing technologies to microbial genetics. Nat Rev Microbiol 2009;7:287-96. [PMID: 19287448 DOI: 10.1038/nrmicro2122] [Cited by in Crossref: 7] [Cited by in F6Publishing: 123] [Article Influence: 0.5] [Reference Citation Analysis]
329 Reeves GA, Talavera D, Thornton JM. Genome and proteome annotation: organization, interpretation and integration. J R Soc Interface 2009;6:129-47. [PMID: 19019817 DOI: 10.1098/rsif.2008.0341] [Cited by in Crossref: 36] [Cited by in F6Publishing: 37] [Article Influence: 2.6] [Reference Citation Analysis]
330 Voelkerding KV, Dames SA, Durtschi JD. Next-generation sequencing: from basic research to diagnostics. Clin Chem. 2009;55:641-658. [PMID: 19246620 DOI: 10.1373/clinchem.2008.112789] [Cited by in Crossref: 522] [Cited by in F6Publishing: 544] [Article Influence: 37.3] [Reference Citation Analysis]
331 Korbel JO, Abyzov A, Mu XJ, Carriero N, Cayting P, Zhang Z, Snyder M, Gerstein MB. PEMer: a computational framework with simulation-based error models for inferring genomic structural variants from massive paired-end sequencing data. Genome Biol 2009;10:R23. [PMID: 19236709 DOI: 10.1186/gb-2009-10-2-r23] [Cited by in Crossref: 206] [Cited by in F6Publishing: 211] [Article Influence: 14.7] [Reference Citation Analysis]
332 Maclean D, Jones JDG, Studholme DJ. Application of 'next-generation' sequencing technologies to microbial genetics. Nat Rev Microbiol 2009;7:96-7. [DOI: 10.1038/nrmicro2088] [Cited by in Crossref: 235] [Cited by in F6Publishing: 243] [Article Influence: 16.8] [Reference Citation Analysis]
333 Rokas A, Abbot P. Harnessing genomics for evolutionary insights. Trends Ecol Evol 2009;24:192-200. [PMID: 19201503 DOI: 10.1016/j.tree.2008.11.004] [Cited by in Crossref: 109] [Cited by in F6Publishing: 116] [Article Influence: 7.8] [Reference Citation Analysis]
334 Palomero T, Ferrando AA. Genomic tools for dissecting oncogenic transcriptional networks in human leukemia. Leukemia. 2009;23:1236-1242. [PMID: 19158827 DOI: 10.1038/leu.2008.394] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 0.4] [Reference Citation Analysis]
335 Doležel J, Šimková H, Kubaláková M, Šafář J, Suchánková P, Číhalíková J, Bartoš J, Valárik M. Chromosome Genomics in the Triticeae. Genetics and Genomics of the Triticeae 2009. [DOI: 10.1007/978-0-387-77489-3_10] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 0.8] [Reference Citation Analysis]
336 Maccaferri M, Sanguineti MC, Giuliani S, Tuberosa R. Genomics of Tolerance to Abiotic Stress in the Triticeae. Genetics and Genomics of the Triticeae 2009. [DOI: 10.1007/978-0-387-77489-3_18] [Cited by in Crossref: 5] [Article Influence: 0.4] [Reference Citation Analysis]
337 Zagordi O, Geyrhofer L, Roth V, Beerenwinkel N. Deep Sequencing of a Genetically Heterogeneous Sample: Local Haplotype Reconstruction and Read Error Correction. In: Batzoglou S, editor. Research in Computational Molecular Biology. Berlin: Springer Berlin Heidelberg; 2009. pp. 271-84. [DOI: 10.1007/978-3-642-02008-7_21] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.1] [Reference Citation Analysis]
338 Eversole K, Graner A, Stein N. Wheat and Barley Genome Sequencing. Genetics and Genomics of the Triticeae 2009. [DOI: 10.1007/978-0-387-77489-3_24] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 0.5] [Reference Citation Analysis]
339 Tettelin H, Feldblyum T. Bacterial Genome Sequencing. Methods in Molecular Biology 2009. [DOI: 10.1007/978-1-60327-999-4_18] [Cited by in Crossref: 18] [Cited by in F6Publishing: 19] [Article Influence: 1.3] [Reference Citation Analysis]
340 Kahvejian A, Quackenbush J, Thompson JF. What would you do if you could sequence everything? Nat Biotechnol. 2008;26:1125-1133. [PMID: 18846086 DOI: 10.1038/nbt1494] [Cited by in Crossref: 141] [Cited by in F6Publishing: 150] [Article Influence: 9.4] [Reference Citation Analysis]
341 Reinhardt JA, Baltrus DA, Nishimura MT, Jeck WR, Jones CD, Dangl JL. De novo assembly using low-coverage short read sequence data from the rice pathogen Pseudomonas syringae pv. oryzae. Genome Res 2009;19:294-305. [PMID: 19015323 DOI: 10.1101/gr.083311.108] [Cited by in Crossref: 114] [Cited by in F6Publishing: 121] [Article Influence: 7.6] [Reference Citation Analysis]
342 Gupta PK. Single-molecule DNA sequencing technologies for future genomics research. Trends in Biotechnology 2008;26:602-11. [DOI: 10.1016/j.tibtech.2008.07.003] [Cited by in Crossref: 161] [Cited by in F6Publishing: 110] [Article Influence: 10.7] [Reference Citation Analysis]
343 Asmann YW, Wallace MB, Thompson EA. Transcriptome profiling using next-generation sequencing. Gastroenterology 2008;135:1466-8. [PMID: 18848555 DOI: 10.1053/j.gastro.2008.09.042] [Cited by in Crossref: 29] [Cited by in F6Publishing: 29] [Article Influence: 1.9] [Reference Citation Analysis]
344 Sorber K, Chiu C, Webster D, Dimon M, Ruby JG, Hekele A, DeRisi JL. The long march: a sample preparation technique that enhances contig length and coverage by high-throughput short-read sequencing. PLoS One 2008;3:e3495. [PMID: 18941527 DOI: 10.1371/journal.pone.0003495] [Cited by in Crossref: 23] [Cited by in F6Publishing: 23] [Article Influence: 1.5] [Reference Citation Analysis]
345 Noguchi H, Taniguchi T, Itoh T. MetaGeneAnnotator: detecting species-specific patterns of ribosomal binding site for precise gene prediction in anonymous prokaryotic and phage genomes. DNA Res 2008;15:387-96. [PMID: 18940874 DOI: 10.1093/dnares/dsn027] [Cited by in Crossref: 492] [Cited by in F6Publishing: 502] [Article Influence: 32.8] [Reference Citation Analysis]
346 Wheat CW. Rapidly developing functional genomics in ecological model systems via 454 transcriptome sequencing. Genetica 2010;138:433-51. [PMID: 18931921 DOI: 10.1007/s10709-008-9326-y] [Cited by in Crossref: 93] [Cited by in F6Publishing: 91] [Article Influence: 6.2] [Reference Citation Analysis]
347 Rougemont J, Amzallag A, Iseli C, Farinelli L, Xenarios I, Naef F. Probabilistic base calling of Solexa sequencing data. BMC Bioinformatics 2008;9:431. [PMID: 18851737 DOI: 10.1186/1471-2105-9-431] [Cited by in Crossref: 73] [Cited by in F6Publishing: 80] [Article Influence: 4.9] [Reference Citation Analysis]
348 Bozdag S, Close TJ, Lonardi S. Computing the Minimal Tiling Path from a Physical Map by Integer Linear Programming. Lecture Notes in Computer Science. [DOI: 10.1007/978-3-540-87361-7_13] [Cited by in Crossref: 2] [Article Influence: 0.1] [Reference Citation Analysis]
349 Dmitriev DA, Rakitov RA. Decoding of superimposed traces produced by direct sequencing of heterozygous indels. PLoS Comput Biol 2008;4:e1000113. [PMID: 18654614 DOI: 10.1371/journal.pcbi.1000113] [Cited by in Crossref: 113] [Cited by in F6Publishing: 113] [Article Influence: 7.5] [Reference Citation Analysis]
350 Sturm NR, Martinez LL, Thomas S. Kinetoplastid genomics: the thin end of the wedge. Infect Genet Evol 2008;8:901-6. [PMID: 18675383 DOI: 10.1016/j.meegid.2008.07.001] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 0.4] [Reference Citation Analysis]
351 Coppée J. Do DNA microarrays have their future behind them? Microbes and Infection 2008;10:1067-71. [DOI: 10.1016/j.micinf.2008.07.003] [Cited by in Crossref: 36] [Cited by in F6Publishing: 37] [Article Influence: 2.4] [Reference Citation Analysis]
352 Millar CD, Huynen L, Subramanian S, Mohandesan E, Lambert DM. New developments in ancient genomics. Trends Ecol Evol 2008;23:386-93. [PMID: 18501471 DOI: 10.1016/j.tree.2008.04.002] [Cited by in Crossref: 68] [Cited by in F6Publishing: 70] [Article Influence: 4.5] [Reference Citation Analysis]
353 Mardis ER. The impact of next-generation sequencing technology on genetics. Trends Genet. 2008;24:133-141. [PMID: 18262675 DOI: 10.1016/j.tig.2007.12.007] [Cited by in Crossref: 1418] [Cited by in F6Publishing: 1482] [Article Influence: 94.5] [Reference Citation Analysis]