Long-read Variant Detection
Long-Read Variant Detection is a computational method in genomic analysis that identifies genetic variants from long-read sequencing data, distinguished by its ability to resolve complex and structural variations through the analysis of continuous, high-molecular-weight DNA sequences.
96
Publications
8.8K
Citations
843
Authors
326
Institutions
Publications per year
2017–2026
90
Parents
96
Long-read-based human genomic structural variation detection with cuteSV
Tao Jiang, Yongzhuang Liu, Bo Liu et al. · Genome biology · 2020 · 455 citations · Full text
SVIM: structural variant identification using mapped long reads
David N. Heller, Martin Vingron · Bioinformatics · 2019 · 417 citations · Full text
1–5 of 96
843
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8
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National Institute of Standards and Technology, United States
6 publications · 2.2K citations
6
h-index
6
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1–5 of 843
326
Baylor College of Medicine
Houston, United States
16 h-index
41 publications
6.8K citations

Johns Hopkins University
Baltimore, United States
15 h-index
33 publications
6.8K citations

Rice University
Houston, United States
9 h-index
11 publications
640 citations
Pacific Biosciences (United States)
Menlo Park, United States
9 h-index
40 publications
19.9K citations
University of Washington
Seattle, United States
8 h-index
81 publications
11.3K citations
National Institute of Standards and Technology
Gaithersburg, United States
6 h-index
14 publications
4.4K citations
Stanford University
Stanford, United States
6 h-index
27 publications
4.4K citations

Howard Hughes Medical Institute
Chevy Chase, United States
6 h-index
6 publications
617 citations
1–8 of 326
Repository · 16 publications · 727 citations
15
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6 publications · 507 citations
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6 publications · 367 citations
6
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6 publications · 836 citations
6
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4 publications · 99 citations
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