Functional Interpretation Of Variants
Functional Interpretation of Variants is a bioinformatics analysis approach that identifies and characterizes the biological and phenotypic consequences of genetic alterations in cancer genomes by distinguishing functionally impactful mutations from neutral variants through computational prediction, experimental evidence, or integrated omics data.
197
Publications
29.5K
Citations
3.4K
Authors
917
Institutions
Publications per year
2017–2026
133
Parents
197
Analysis of protein-coding genetic variation in 60,706 humans
Monkol Lek, Konrad J. Karczewski, Eric Vallabh Minikel et al. · Nature · 2016 · 10.3K citations · Full text
Annotation of functional variation in personal genomes using RegulomeDB
Alan P. Boyle, Eurie L. Hong, Manoj Hariharan et al. · Genome Research · 2012 · 2.9K citations · Full text
Inferring the molecular and phenotypic impact of amino acid variants with MutPred2
Vikas Pejaver, Jorge Urresti, Jose Lugo-Martinez et al. · Nature Communications · 2020 · 850 citations · Full text
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Broad Institute
Cambridge, United States
13 h-index
312 publications
562.9K citations
University of Washington
Seattle, United States
13 h-index
48 publications
17.4K citations
Harvard University
Cambridge, United States
12 h-index
73 publications
110.5K citations
University of Cambridge
Cambridge, United Kingdom
11 h-index
62 publications
4.8K citations
University of California San Diego
San Diego, United States
11 h-index
45 publications
29.6K citations
Massachusetts General Hospital
Boston, United States
11 h-index
124 publications
319.7K citations
University of California, San Francisco
San Francisco, United States
10 h-index
38 publications
2.9K citations
Baylor College of Medicine
Houston, United States
10 h-index
43 publications
4.3K citations
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16 publications · 1.9K citations
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12 publications · 1.8K citations
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Repository · 9 publications · 633 citations
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9 publications · 1.6K citations
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8 publications · 573 citations
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