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Cited by 1,348

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

VarScan: variant detection in massively parallel sequencing of individual and pooled samples

Open access
Koboldt, Daniel C., Chen, Ken, Wylie, Todd, Larson, David E., McLellan, Michael D., Mardis, Elaine R., Weinstock, George M., Wilson, Richard K., Ding, Li·2009·Bioinformatics

Abstract

Summary: Massively parallel sequencing technologies hold incredible promise for the study of DNA sequence variation, particularly the identification of variants affecting human disease. The unprecedented throughput and relatively short read lengths of Roche/454, Illumina/Solexa, and other platforms have spurred development of a new generation of sequence alignment algorithms. Yet detection of sequence variants based on short read alignments remains challenging, and most currently available tools are limited to a single platform or aligner type. We present VarScan, an open source tool for variant detection that is compatible with several short read aligners. We demonstrate VarScan's ability to detect SNPs and indels with high sensitivity and specificity, in both Roche/454 sequencing of individuals and deep Illumina/Solexa sequencing of pooled samples. Availability and Implementation: Source code and documentation freely available at http://genome.wustl.edu/tools/cancer-genomics implemented as a Perl package and supported on Linux/UNIX, MS Windows and Mac OSX. Contact: dkoboldt@genome.wustl.edu Supplementary information: Supplementary data are available at Bioinformatics online.

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Crossref · 10.1093/bioinformatics/btp373

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Metadata

Authors
Koboldt, D. C., Chen, K., Wylie, T., Larson, D. E., McLellan, M. D., Mardis, E. R., Weinstock, G. M., Wilson, R. K., & Ding, L.
Venue
Bioinformatics
Published
2009-06-19
Volume
25
Issue
17
Pages
2283-2285
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2161815151
Cited by
1,348
References
4
FWCI
17.16
Type
journal article
Language
en
Open access
green

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