RVboost: RNA-seq variants prioritization using a boosting method

Motivation: RNA-seq has become the method of choice to quantify genes and exons, discover novel transcripts and detect fusion genes. However, reliable variant identification from RNA-seq data remains challenging because of the complexities of the transcriptome, the challenges of accurately mapping e...

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Detalhes bibliográficos
Publicado no:Bioinformatics
Main Authors: Wang, Chen, Davila, Jaime I., Baheti, Saurabh, Bhagwate, Aditya V., Wang, Xue, Kocher, Jean-Pierre A., Slager, Susan L., Feldman, Andrew L., Novak, Anne J., Cerhan, James R., Thompson, E. Aubrey, Asmann, Yan W.
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2014
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Applications Notes
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4296157/
https://ncbi.nlm.nih.gov/pubmed/25170027
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btu577
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