Reference-based Variant Detection
Reference-Based Variant Detection is a computational method in genomics that identifies genetic variants by aligning sequencing reads to a reference genome and detecting discrepancies indicative of nucleotide substitutions, insertions, deletions, or structural alterations.
60
Publications
8.2K
Citations
514
Authors
193
Institutions
Publications per year
2017–2026
30
Variants
Reference-based Variant Calling
Parents
60
A complete reference genome improves analysis of human genetic variation
Sergey Aganezov, Stephanie M. Yan, Daniela C. Soto et al. · Science · 2022 · 433 citations · Full text
1–5 of 60
514
National Institute of Standards and Technology, United States
6 publications · 1.2K citations
6
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National Center for Biotechnology Information, United States
4 publications · 746 citations
4
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4
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3
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3
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1–5 of 514
193
Stanford University
Stanford, United States
7 h-index
25 publications
1.9K citations
National Institute of Standards and Technology
Gaithersburg, United States
5 h-index
14 publications
2.3K citations

Johns Hopkins University
Baltimore, United States
4 h-index
22 publications
5.4K citations
Cold Spring Harbor Laboratory
Cold Spring Harbor, United States
4 h-index
7 publications
2.1K citations
Science for Life Laboratory
Stockholm, Sweden
4 h-index
13 publications
1.5K citations

Uppsala University
Uppsala, Sweden
4 h-index
7 publications
843 citations
National Center for Biotechnology Information
Bethesda, United States
4 h-index
11 publications
1.8K citations
University of California, Santa Cruz
Santa Cruz, United States
4 h-index
11 publications
2.2K citations
1–8 of 193
8 publications · 674 citations
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6 publications · 640 citations
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Repository · 5 publications · 2.3K citations
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4 publications · 1.1K citations
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2 publications · 92 citations
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