Computing tumor trees from single cells.

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Alexander Davis, Nicholas E Navin

Author Information

Alexander Davis: Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Nicholas E Navin: Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA. nnavin@mdanderson.org.

PMID: 27230879 DOI: 10.1186/s13059-016-0987-z

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 .

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R01 CA169244/NCI NIH HHS

Cell Transformation, Neoplastic

Clonal Evolution

Computational Biology

Genetic Heterogeneity

Genomics

High-Throughput Nucleotide Sequencing

Humans

Markov Chains

Monte Carlo Method

Mutation

Neoplasms

Phylogeny

Single-Cell Analysis

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

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