English

Fast and Scalable Inference of Multi-Sample Cancer Lineages

Computational Engineering, Finance, and Science 2014-12-31 v1 Genomics

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 SSNVs obtained by deep sequencing to reconstruct multi-sample cell lineage trees and infer the subclonal composition of the samples. LICHeE is open-sourced and available at http://viq854.github.io/lichee.

Keywords

Cite

@article{arxiv.1412.8574,
  title  = {Fast and Scalable Inference of Multi-Sample Cancer Lineages},
  author = {Victoria Popic and Raheleh Salari and Iman Hajirasouliha and Dorna Kashef-Haghighi and Robert B. West and Serafim Batzoglou},
  journal= {arXiv preprint arXiv:1412.8574},
  year   = {2014}
}