Computational Variant Prioritization
Computational Variant Prioritization is a bioinformatics approach that systematically ranks somatic variants based on their predicted biological relevance and potential functional impact within genomic data, distinguishing it from general variant detection by emphasizing algorithmic assessment of variant significance.
48
Publications
5.5K
Citations
400
Authors
168
Institutions
Publications per year
2017–2026
28
48
VarSome: the human genomic variant search engine
Christos Kopanos, Vasilis Tsiolkas, Alexandros Kouris et al. · Bioinformatics · 2018 · 1.9K citations · Full text
FunSeq2: a framework for prioritizing noncoding regulatory variants in cancer
Yao Fu, Zhu Liu, Shaoke Lou et al. · Genome biology · 2014 · 392 citations · Full text
eXtasy: variant prioritization by genomic data fusion
Alejandro Sifrim, Dušan Popović, Léon-Charles Tranchevent et al. · Nature Methods · 2013 · 167 citations · Full text
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168
Chinese University of Hong Kong
Hong Kong, Hong Kong
4 h-index
7 publications
929 citations

Cornell University
Ithaca, United States
3 h-index
4 publications
433 citations
Yale University
New Haven, United States
3 h-index
17 publications
2.1K citations

Broad Institute
Cambridge, United States
3 h-index
6 publications
475 citations
KU Leuven
Leuven, Belgium
2 h-index
18 publications
1.8K citations

Imperial College London
London, United Kingdom
2 h-index
10 publications
1.2K citations

University of Hong Kong
Pok Fu Lam, Hong Kong
2 h-index
3 publications
115 citations
The University of Texas MD Anderson Cancer Center
Houston, United States
2 h-index
4 publications
400 citations
1–8 of 168
4 publications · 2K citations
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Repository · 4 publications · 118 citations
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4 publications · 187 citations
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3 publications · 51 citations
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2 publications · 136 citations
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