ReMixT: clone-specific genomic structure estimation in cancer

Genome Biol. 2017 Jul 27;18(1):140. doi: 10.1186/s13059-017-1267-2.

Abstract

Somatic evolution of malignant cells produces tumors composed of multiple clonal populations, distinguished in part by rearrangements and copy number changes affecting chromosomal segments. Whole genome sequencing mixes the signals of sampled populations, diluting the signals of clone-specific aberrations, and complicating estimation of clone-specific genotypes. We introduce ReMixT, a method to unmix tumor and contaminating normal signals and jointly predict mixture proportions, clone-specific segment copy number, and clone specificity of breakpoints. ReMixT is free, open-source software and is available at http://bitbucket.org/dranew/remixt .

Keywords: Cancer genomics; Copy number variation; DNA sequencing; Genomic rearrangement; Tumour heterogeneity.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, N.I.H., Extramural

MeSH terms

  • Algorithms
  • Animals
  • Breast Neoplasms / genetics*
  • Breast Neoplasms / metabolism
  • Breast Neoplasms / pathology
  • Cell Count
  • Clone Cells
  • Cystadenocarcinoma, Serous / genetics*
  • Cystadenocarcinoma, Serous / metabolism
  • Cystadenocarcinoma, Serous / pathology
  • DNA Copy Number Variations
  • Female
  • Genome, Human*
  • Genotype
  • Heterografts / metabolism
  • Heterografts / pathology
  • Humans
  • Internet
  • Mice
  • Mice, SCID
  • Models, Statistical*
  • Neoplastic Cells, Circulating
  • Ovarian Neoplasms / genetics*
  • Ovarian Neoplasms / metabolism
  • Ovarian Neoplasms / pathology
  • Software*
  • Translocation, Genetic
  • Whole Genome Sequencing