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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.
Afiliação
  • 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 em 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 .
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Variação Genética / Linhagem da Célula / Neoplasias Limite: Female / Humans Idioma: En Revista: Genome Biol Assunto da revista: BIOLOGIA MOLECULAR / GENETICA Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Variação Genética / Linhagem da Célula / Neoplasias Limite: Female / Humans Idioma: En Revista: Genome Biol Assunto da revista: BIOLOGIA MOLECULAR / GENETICA Ano de publicação: 2015 Tipo de documento: Article País de afiliação: Estados Unidos