MuSE: accounting for tumor heterogeneity using a sample-specific error model improves sensitivity and specificity in mutation calling from sequencing data

Subclonal mutations reveal important features of the genetic architecture of tumors. However, accurate detection of mutations in genetically heterogeneous tumor cell populations using next-generation sequencing remains challenging. We develop MuSE (http://bioinformatics.mdanderson.org/main/MuSE), Mu...

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Detalles Bibliográficos
Autores principales: Fan, Yu, Xi, Liu, Hughes, Daniel S. T., Zhang, Jianjun, Zhang, Jianhua, Futreal, P. Andrew, Wheeler, David A., Wang, Wenyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4995747/
https://www.ncbi.nlm.nih.gov/pubmed/27557938
http://dx.doi.org/10.1186/s13059-016-1029-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4995747/
https://www.ncbi.nlm.nih.gov/pubmed/27557938
http://dx.doi.org/10.1186/s13059-016-1029-6

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