Computational Cancer Biology: An Evolutionary Perspective

Niko Beerenwinkel; Chris D Greenman; Jens Lagergren

doi:10.1371/journal.pcbi.1004717

Computational Cancer Biology: An Evolutionary Perspective

PLoS Comput Biol. 2016 Feb 4;12(2):e1004717. doi: 10.1371/journal.pcbi.1004717. eCollection 2016 Feb.

Authors

Niko Beerenwinkel^{1

2}, Chris D Greenman³, Jens Lagergren⁴

Affiliations

¹ Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
² SIB Swiss Institute of Bioinformatics, Basel, Switzerland.
³ School of Computing Sciences, University of East Anglia, Norwich, United Kingdom.
⁴ Science for Life Laboratory, School of Computer Science and Communication, Swedish E-Science Research Center, KTH Royal Institute of Technology, Solna, Sweden.

No abstract available

Publication types

Research Support, Non-U.S. Gov't
Review

MeSH terms

Computational Biology*
Disease Progression
Evolution, Molecular
Genome, Human / genetics
High-Throughput Nucleotide Sequencing
Humans
Neoplasms / genetics*

Grants and funding

NB was partially supported by ERC Synergy Grant 609883 (http://erc.europa.eu/), SystemsX.ch RTD Grant 2013/150 (http://www.systemsx.ch/), and Swiss Cancer League Grant KLS-2892-02-2012 (www.krebsliga.ch). JL was supported by the Swedish Research Council Grant 2013-4993 (www.vr.se). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.