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ReMixT: clone-specific genomic structure estimation in cancer

Authors :
Peter Eirew
S. Cenk Sahinalp
Samuel Aparicio
Cedric Chauve
Adi Steif
Andrew Roth
Andrew McPherson
Sohrab P. Shah
Alexandre Bouchard-Côté
Camila P. E. de Souza
Gavin Ha
Source :
Genome Biology, Vol 18, Iss 1, Pp 1-14 (2017), Genome Biology
Publication Year :
2017
Publisher :
Springer Science and Business Media LLC, 2017.

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. Electronic supplementary material The online version of this article (doi:10.1186/s13059-017-1267-2) contains supplementary material, which is available to authorized users.

Details

ISSN :
1474760X
Volume :
18
Database :
OpenAIRE
Journal :
Genome Biology
Accession number :
edsair.doi.dedup.....cc9cedd102987825587156142cef5056
Full Text :
https://doi.org/10.1186/s13059-017-1267-2