Inferring Tumor Phylogenies from Multi-region Sequencing

Cell Syst. 2016 Jul;3(1):12-4. doi: 10.1016/j.cels.2016.07.007.

Authors

Zheng Hu¹, Christina Curtis²

Affiliations

¹ Departments of Medicine and Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA; Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94305, USA.
² Departments of Medicine and Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA; Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94305, USA. Electronic address: cncurtis@stanford.edu.

PMID: 27467243
DOI: 10.1016/j.cels.2016.07.007

Abstract

A new computational method illuminates the heterogeneity and evolutionary histories of cells within a tumor.

Copyright © 2016 Elsevier Inc. All rights reserved.

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MeSH terms

Algorithms
Biological Evolution
Computational Biology
Computer Simulation
Humans
Models, Genetic
Neoplasms*
Phylogeny*
Tumor Microenvironment