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Fast and scalable inference of multi-sample cancer lineages.
Popic, Victoria; Salari, Raheleh; Hajirasouliha, Iman; Kashef-Haghighi, Dorna; West, Robert B; Batzoglou, Serafim.
Afiliación
  • Popic V; Department of Computer Science, Stanford University, Stanford, CA, USA. viq@stanford.edu.
  • Salari R; Department of Computer Science, Stanford University, Stanford, CA, USA. rahelehs@cs.stanford.edu.
  • Hajirasouliha I; Department of Computer Science, Stanford University, Stanford, CA, USA. imanh@stanford.edu.
  • Kashef-Haghighi D; Department of Computer Science, Stanford University, Stanford, CA, USA. dkashef@stanford.edu.
  • West RB; Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA. rbwest@stanford.edu.
  • Batzoglou S; Department of Computer Science, Stanford University, Stanford, CA, USA. serafim@cs.stanford.edu.
Genome Biol ; 16: 91, 2015 May 06.
Article en En | MEDLINE | ID: mdl-25944252
ABSTRACT
Somatic variants can be used as lineage markers for the phylogenetic reconstruction of cancer evolution. Since somatic phylogenetics is complicated by sample heterogeneity, novel specialized tree-building methods are required for cancer phylogeny reconstruction. We present LICHeE (Lineage Inference for Cancer Heterogeneity and Evolution), a novel method that automates the phylogenetic inference of cancer progression from multiple somatic samples. LICHeE uses variant allele frequencies of somatic single nucleotide variants obtained by deep sequencing to reconstruct multi-sample cell lineage trees and infer the subclonal composition of the samples. LICHeE is open source and available at http//viq854.github.io/lichee .
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Variación Genética / Linaje de la Célula / Neoplasias Límite: Female / Humans Idioma: En Revista: Genome Biol Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Variación Genética / Linaje de la Célula / Neoplasias Límite: Female / Humans Idioma: En Revista: Genome Biol Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos