Dr Ville Mustonen

Ville develops computational methods to discover and understand functionally relevant genetic and phenotypic variation.

Ville has a background in engineering and physics and he has been working in the field of quantitative biology for the last ten years. At the Sanger Institute his group is studying rapidly evolving populations, for example to better understand how they react to external challenges. The work is done with systems of direct relevance to human health, in the context of cancer, infectious disease and evolution of drug resistance.

Selected Publications

  • Identifying selection in the within-host evolution of influenza using viral sequence data.

    Illingworth CJ, Fischer A and Mustonen V

    PLoS computational biology 2014;10;7;e1003755

  • High-definition reconstruction of clonal composition in cancer.

    Fischer A, Vázquez-García I, Illingworth CJ and Mustonen V

    Cell reports 2014;7;5;1740-52

  • Computational approaches to identify functional genetic variants in cancer genomes.

    Gonzalez-Perez A, Mustonen V, Reva B, Ritchie GR, Creixell P, Karchin R, Vazquez M, Fink JL, Kassahn KS, Pearson JV, Bader GD, Boutros PC, Muthuswamy L, Ouellette BF, Reimand J, Linding R, Shibata T, Valencia A, Butler A, Dronov S, Flicek P, Shannon NB, Carter H, Ding L, Sander C, Stuart JM, Stein LD, Lopez-Bigas N and International Cancer Genome Consortium Mutation Pathways and Consequences Subgroup of the Bioinformatics Analyses Working Group

    Nature methods 2013;10;8;723-9

  • EMu: probabilistic inference of mutational processes and their localization in the cancer genome.

    Fischer A, Illingworth CJ, Campbell PJ and Mustonen V

    Genome biology 2013;14;4;R39

  • Components of selection in the evolution of the influenza virus: linkage effects beat inherent selection.

    Illingworth CJ and Mustonen V

    PLoS pathogens 2012;8;12;e1003091

  • Quantifying selection acting on a complex trait using allele frequency time series data.

    Illingworth CJ, Parts L, Schiffels S, Liti G and Mustonen V

    Molecular biology and evolution 2012;29;4;1187-97

  • A method to infer positive selection from marker dynamics in an asexual population.

    Illingworth CJ, Mustonen V.

    Bioinformatics 2012

  • Fitness flux and ubiquity of adaptive evolution.

    Mustonen V and Lässig M

    Proceedings of the National Academy of Sciences of the United States of America 2010;107;9;4248-53

  • From fitness landscapes to seascapes: non-equilibrium dynamics of selection and adaptation.

    Mustonen V and Lässig M

    Trends in genetics : TIG 2009;25;3;111-9

  • Energy-dependent fitness: a quantitative model for the evolution of yeast transcription factor binding sites.

    Mustonen V, Kinney J, Callan CG and Lässig M

    Proceedings of the National Academy of Sciences of the United States of America 2008;105;34;12376-81

  • Molecular evolution under fitness fluctuations.

    Mustonen V and Lässig M

    Physical review letters 2008;100;10;108101

  • Adaptations to fluctuating selection in Drosophila.

    Mustonen V and Lässig M

    Proceedings of the National Academy of Sciences of the United States of America 2007;104;7;2277-82

  • Evolutionary population genetics of promoters: predicting binding sites and functional phylogenies.

    Mustonen V and Lässig M

    Proceedings of the National Academy of Sciences of the United States of America 2005;102;44;15936-41

[Genome Research Limited]

Ville's Project
Population genomics of adaptation
Research Area
Bioinformatics
Email
vm5@sanger.ac.uk
* quick link - http://q.sanger.ac.uk/9c90csiw