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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...
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. |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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Materias: | |
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 |
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