期刊
BIOINFORMATICS
卷 27, 期 15, 页码 2147-2148出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btr357
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资金
- National Cancer Institute, National Institutes of Health [CA135877]
- National Science Foundation [DBI 0845275]
- DOD NDSEG [32 CFR 168a]
- Div Of Biological Infrastructure
- Direct For Biological Sciences [0845275] Funding Source: National Science Foundation
Thousands of cancer exomes are currently being sequenced, yielding millions of non-synonymous single nucleotide variants (SNVs) of possible relevance to disease etiology. Here, we provide a software toolkit to prioritize SNVs based on their predicted contribution to tumorigenesis. It includes a database of precomputed, predictive features covering all positions in the annotated human exome and can be used either stand-alone or as part of a larger variant discovery pipeline.
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