SNVMix: predicting single nucleotide variants from next-generation sequencing of tumors

Motivation: Next-generation sequencing (NGS) has enabled whole genome and transcriptome single nucleotide variant (SNV) discovery in cancer. NGS produces millions of short sequence reads that, once aligned to a reference genome sequence, can be interpreted for the presence of SNVs. Although tools ex...

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Detalles Bibliográficos
Autores principales: Goya, Rodrigo, Sun, Mark G.F., Morin, Ryan D., Leung, Gillian, Ha, Gavin, Wiegand, Kimberley C., Senz, Janine, Crisan, Anamaria, Marra, Marco A., Hirst, Martin, Huntsman, David, Murphy, Kevin P., Aparicio, Sam, Shah, Sohrab P.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2832826/
https://www.ncbi.nlm.nih.gov/pubmed/20130035
http://dx.doi.org/10.1093/bioinformatics/btq040

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2832826/
https://www.ncbi.nlm.nih.gov/pubmed/20130035
http://dx.doi.org/10.1093/bioinformatics/btq040

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