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Genome Biol. 2016 May 26;17(1):113. doi: 10.1186/s13059-016-0987-z.

Computing tumor trees from single cells.

Author information

1
Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
2
Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
3
Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA. nnavin@mdanderson.org.
4
Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA. nnavin@mdanderson.org.

Abstract

Computational methods have been developed to reconstruct evolutionary lineages from tumors using single-cell genomic data. The resulting tumor trees have important applications in cancer research and clinical oncology.Please see related Research articles: http://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-0929-9 and http://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-0936-x .

PMID:
27230879
PMCID:
PMC4881295
DOI:
10.1186/s13059-016-0987-z
[Indexed for MEDLINE]
Free PMC Article

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