Feature-based classifiers for somatic mutation detection in tumour–normal paired sequencing data

Motivation: The study of cancer genomes now routinely involves using next-generation sequencing technology (NGS) to profile tumours for single nucleotide variant (SNV) somatic mutations. However, surprisingly few published bioinformatics methods exist for the specific purpose of identifying somatic...

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Detalles Bibliográficos
Autores principales: Ding, Jiarui, Bashashati, Ali, Roth, Andrew, Oloumi, Arusha, Tse, Kane, Zeng, Thomas, Haffari, Gholamreza, Hirst, Martin, Marra, Marco A., Condon, Anne, Aparicio, Samuel, Shah, Sohrab P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3259434/
https://www.ncbi.nlm.nih.gov/pubmed/22084253
http://dx.doi.org/10.1093/bioinformatics/btr629

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3259434/
https://www.ncbi.nlm.nih.gov/pubmed/22084253
http://dx.doi.org/10.1093/bioinformatics/btr629

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