RVboost is a tool for prioritizing RNA-seq variants. The RVboost algorithm uses characteristics that are uniques to RNA library preparation and sequencing. RVboost utilizes a boosting method to train models using variants stored in HapMap. The RVboost consists of a workflow combining variant calling, filtering, and annotation.
RNA; RNA-Seq; Sequencing
Wang C, Davila JI, Baheti S, Bhagwate AV, Wang X, Kocher JP, Slager SL, Feldman AL, Novak AJ, Cerhan JR, Thompson EA, Asmann YW "RVboost: RNA-seq variants prioritization using a boosting method." Bioinformatics. 2014 Dec 1;30(23):3414-6. Epub 2014 Aug 27. https://doi.org/10.1093/bioinformatics/btu577
PMID: 25170027
PMCID: PMC4296157
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