Cargando…
Mutation Discovery in Regions of Segmental Cancer Genome Amplifications with CoNAn-SNV: A Mixture Model for Next Generation Sequencing of Tumors
Next generation sequencing has now enabled a cost-effective enumeration of the full mutational complement of a tumor genome—in particular single nucleotide variants (SNVs). Most current computational and statistical models for analyzing next generation sequencing data, however, do not account for ca...
Autores principales: | Crisan, Anamaria, Goya, Rodrigo, Ha, Gavin, Ding, Jiarui, Prentice, Leah M., Oloumi, Arusha, Senz, Janine, Zeng, Thomas, Tse, Kane, Delaney, Allen, Marra, Marco A., Huntsman, David G., Hirst, Martin, Aparicio, Sam, Shah, Sohrab |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3420914/ https://www.ncbi.nlm.nih.gov/pubmed/22916110 http://dx.doi.org/10.1371/journal.pone.0041551 |
Ejemplares similares
-
JointSNVMix: a probabilistic model for accurate detection of somatic mutations in normal/tumour paired next-generation sequencing data
por: Roth, Andrew, et al.
Publicado: (2012) -
Feature-based classifiers for somatic mutation detection in tumour–normal paired sequencing data
por: Ding, Jiarui, et al.
Publicado: (2012) -
SNVMix: predicting single nucleotide variants from next-generation sequencing of tumors
por: Goya, Rodrigo, et al.
Publicado: (2010) -
Conan Doyle
por: MacNalty, Arthur S.
Publicado: (1935) -
Integrative analysis of genome-wide loss of heterozygosity and monoallelic expression at nucleotide resolution reveals disrupted pathways in triple-negative breast cancer
por: Ha, Gavin, et al.
Publicado: (2012)