Computing tumor trees from single cells

Alexander Davis; Nicholas E Navin

doi:10.1186/s13059-016-0987-z

Computing tumor trees from single cells

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

Authors

Alexander Davis^{1

2}, Nicholas E Navin^{3

4}

Affiliations

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 .

Publication types

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

MeSH terms

Cell Transformation, Neoplastic / genetics
Clonal Evolution / genetics
Computational Biology / methods*
Genetic Heterogeneity
Genomics / methods*
High-Throughput Nucleotide Sequencing
Humans
Markov Chains
Monte Carlo Method
Mutation
Neoplasms / diagnosis
Neoplasms / genetics*
Phylogeny
Single-Cell Analysis* / methods

Grants and funding

R01 CA169244/CA/NCI NIH HHS/United States