Read-depth Based Variant Detection
Read-Depth Based Variant Detection is a computational method for identifying structural variants in genomic sequences by analyzing the local deviations in sequencing read depth relative to a reference genome, distinguishing it from other variant detection approaches through its reliance on depth-of-coverage patterns rather than read-pair, split-read, or assembly-based signals.
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5.7K
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340
Authors
158
Institutions
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2017–2026
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LUMPY: a probabilistic framework for structural variant discovery
Ryan M. Layer, Colby Chiang, Aaron R. Quinlan et al. · Genome biology · 2014 · 1.8K citations · Full text
Sensitive and accurate detection of copy number variants using read depth of coverage
Seungtai Yoon, Zhenyu Xuan, Vladimir Makarov et al. · Genome Research · 2009 · 655 citations · Full text
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Icahn School of Medicine at Mount Sinai
New York, United States
3 h-index
7 publications
385 citations
Harvard University
Cambridge, United States
3 h-index
3 publications
169 citations
University of Utah
Salt Lake City, United States
3 h-index
12 publications
970 citations

Xidian University
Xi'an, China
3 h-index
8 publications
380 citations
University of Pennsylvania
Philadelphia, United States
3 h-index
8 publications
181 citations
Star Center
Jackson, United States
3 h-index
12 publications
970 citations
Sungkyunkwan University
Seoul, South Korea
2 h-index
2 publications
39 citations
University of Florence
Florence, Italy
2 h-index
7 publications
531 citations
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5 publications · 2.3K citations
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5 publications · 218 citations
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5 publications · 245 citations
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Repository · 4 publications · 60 citations
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3 publications · 789 citations
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