Variant Discovery
Variant Discovery is a computational genomics process that identifies deviations from a reference genome sequence, distinguishing itself by systematically detecting single nucleotide variants, insertions, deletions, and structural variations in DNA sequencing data.
281
Publications
63.1K
Citations
3.1K
Authors
676
Institutions
Publications per year
2017–2026
139
Parents
281
The variant call format and VCFtools
Petr Danecek, Adam Auton, Gonçalo R. Abecasis et al. · Bioinformatics · 2011 · 17.8K citations · Full text
A framework for variation discovery and genotyping using next-generation DNA sequencing data
Mark A. DePristo, Eric Banks, Ryan Poplin et al. · Nature Genetics · 2011 · 12.4K citations · Full text
DELLY: structural variant discovery by integrated paired-end and split-read analysis
Tobias Rausch, Thomas Zichner, Andreas Schlattl et al. · Bioinformatics · 2012 · 2.7K citations · Full text
1–5 of 281
3.1K
6
h-index
6
h-index
5
h-index
5
h-index
5
h-index
1–5 of 3.1K
676

Broad Institute
Cambridge, United States
14 h-index
104 publications
585.9K citations
University of Utah
Salt Lake City, United States
14 h-index
92 publications
8.7K citations
Harvard University
Cambridge, United States
14 h-index
59 publications
47.1K citations

Johns Hopkins University
Baltimore, United States
12 h-index
56 publications
9.2K citations
University of Washington
Seattle, United States
12 h-index
79 publications
13K citations

Washington University in St. Louis
St Louis, United States
11 h-index
75 publications
8.4K citations
Stanford University
Stanford, United States
11 h-index
71 publications
2.5K citations
Massachusetts General Hospital
Boston, United States
10 h-index
61 publications
56.4K citations
1–8 of 676
23 publications · 22.1K citations
19
h-index
18 publications · 2.4K citations
16
h-index
17 publications · 976 citations
16
h-index
16 publications · 467 citations
13
h-index
10 publications · 524 citations
10
h-index
1–5