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Whole-genome sequencing and variant discovery in C. elegans
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Citations
Cited by
RNA-Seq: a revolutionary tool for transcriptomics
Wang, Z., Gerstein, M., & Snyder, M. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2484 · Cited by 13,174
Sequencing technologies – the next generation
Metzker, M. L. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2626 · Cited by 7,066
Accurate whole human genome sequencing using reversible terminator chemistry
Bentley, D. R., Balasubramanian, S., Swerdlow, H. P., Smith, G. P., Milton, J., Brown, C. G., Hall, K. P., Evers, D. J., Barnes, C. L., Bignell, H. R., et al. (2008) · Nature · doi:10.1038/nature07517 · Cited by 3,684
Mapping short DNA sequencing reads and calling variants using mapping quality scores
Li, H., Ruan, J., & Durbin, R. (2008) · Genome Research · doi:10.1101/gr.078212.108 · Cited by 2,638
ChIP–seq: advantages and challenges of a maturing technology
Park, P. J. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2641 · Cited by 2,217
Analyzing and minimizing PCR amplification bias in Illumina sequencing libraries
Aird, D., Ross, M. G., Chen, W.-S., Danielsson, M., Fennell, T., Russ, C., Jaffe, D. B., Nusbaum, C., & Gnirke, A. (2011) · Genome Biology · doi:10.1186/gb-2011-12-2-r18 · Cited by 1,174
Substantial biases in ultra-short read data sets from high-throughput DNA sequencing
Dohm, J. C., Lottaz, C., Borodina, T., & Himmelbauer, H. (2008) · Nucleic Acids Research · doi:10.1093/nar/gkn425 · Cited by 1,088
Personalized copy number and segmental duplication maps using next-generation sequencing
Alkan, C., Kidd, J. M., Marques-Bonet, T., Aksay, G., Antonacci, F., Hormozdiari, F., Kitzman, J. O., Baker, C., Malig, M., Mutlu, O., et al. (2009) · Nature Genetics · doi:10.1038/ng.437 · Cited by 748
Chromatin organization marks exon-intron structure
Schwartz, S., Meshorer, E., & Ast, G. (2009) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.1659 · Cited by 638
Evaluation of next generation sequencing platforms for population targeted sequencing studies
Harismendy, O., Ng, P. C., Strausberg, R. L., Wang, X., Stockwell, T. B., Beeson, K. Y., Schork, N. J., Murray, S. S., Topol, E. J., Levy, S., et al. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r32 · Cited by 614
CNV-seq, a new method to detect copy number variation using high-throughput sequencing
Xie, C., & Tammi, M. T. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-80 · Cited by 582
Enhancer-promoter interactions are encoded by complex genomic signatures on looping chromatin
Whalen, S., Truty, R. M., & Pollard, K. S. (2016) · Nature Genetics · doi:10.1038/ng.3539 · Cited by 456
Dalloul, R. A., Long, J. A., Zimin, A. V., Aslam, L., Beal, K., Ann Blomberg, L., Bouffard, P., Burt, D. W., Crasta, O., Crooijmans, R. P. M. A., et al. (2010) · PLoS Biology · doi:10.1371/journal.pbio.1000475 · Cited by 416
Trick, M., Long, Y., Meng, J., & Bancroft, I. (2009) · Plant Biotechnology Journal · doi:10.1111/j.1467-7652.2008.00396.x · Cited by 338
Effects of GC Bias in Next-Generation-Sequencing Data on De Novo Genome Assembly
Chen, Y.-C., Liu, T., Yu, C.-H., Chiang, T.-Y., & Hwang, C.-C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0062856 · Cited by 285
“On Illumina system [9], a major NGS platform, it has been reported that extreme base compositions, i.e., GC-poor or GC-rich sequences, lead to an uneven coverage or even no coverage of reads across the genome [9,10,11,12,13].”
BackgroundDe novo fragment assembly with short mate-paired reads: Does the read length matter?
Chaisson, M. J., Brinza, D., & Pevzner, P. A. (2009) · Genome Research · doi:10.1101/gr.079053.108 · Cited by 279
What would you do if you could sequence everything?
Kahvejian, A., Quackenbush, J., & Thompson, J. F. (2008) · Nature Biotechnology · doi:10.1038/nbt1494 · Cited by 189
Management of High-Throughput DNA Sequencing Projects: Alpheus
Andrew F, N. A. (2008) · Journal of Computer Science & Systems Biology · doi:10.4172/jcsb.1000013 · Cited by 75
Thung, D. T., Beulen, L., Hehir-Kwa, J., & Faas, B. H. (2015) · Expert Review of Molecular Diagnostics · doi:10.1586/14737159.2015.973857 · Cited by 20
Metadata
- Authors
- Hillier, L. W., Marth, G. T., Quinlan, A. R., Dooling, D., Fewell, G., Barnett, D., Fox, P., Glasscock, J. I., Hickenbotham, M., Huang, W., Magrini, V. J., Richt, R. J., Sander, S. N., Stewart, D. A., Stromberg, M., Tsung, E. F., Wylie, T., Schedl, T., Wilson, R. K., & Mardis, E. R.
- Venue
- Nature Methods
- Published
- 2008-01-20
- Volume
- 5
- Issue
- 2
- Pages
- 183-188
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W2002875415
- Cited by
- 404
- References
- 0
- FWCI
- 26.80
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.