Dr Ville Mustonen | Former CDF Group Leader

This person is a member of Sanger Institute Alumni.

Mustonen, Ville

Ville developed 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 more than 10 years. At the Sanger Institute his group is studied rapidly evolving populations, for example to better understand how they react to external challenges. The work was done with systems of direct relevance to human health, in the context of cancer, infectious disease and evolution of drug resistance.

Publications

  • The value of monitoring to control evolving populations.

    Fischer A, Vázquez-García I and Mustonen V

    Proceedings of the National Academy of Sciences of the United States of America 2015;112;4;1007-12

  • 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 CJR and Mustonen V

    Cell reports 2014;7;5;1740-1752

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

    Gonzalez-Perez A, Mustonen V, Reva B, Ritchie GR, Creixell P et al.

    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

  • Evaluating genetic drift in time-series evolutionary analysis.

    R Nené N, Mustonen V and J R Illingworth C

    Journal of theoretical biology 2017

  • Pathway and network analysis of cancer genomes.

    Creixell P, Reimand J, Haider S, Wu G, Shibata T et al.

    Nature methods 2015;12;7;615-621

  • The value of monitoring to control evolving populations.

    Fischer A, Vázquez-García I and Mustonen V

    Proceedings of the National Academy of Sciences of the United States of America 2015;112;4;1007-12

  • 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 CJR and Mustonen V

    Cell reports 2014;7;5;1740-1752

  • High-resolution mapping of complex traits with a four-parent advanced intercross yeast population.

    Cubillos FA, Parts L, Salinas F, Bergström A, Scovacricchi E et al.

    Genetics 2013;195;3;1141-55

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

    Gonzalez-Perez A, Mustonen V, Reva B, Ritchie GR, Creixell P et al.

    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

  • 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

Mustonen, Ville
Ville's Timeline
2009

Computational Genomics Faculty at the Sanger Insititute

2005

University of Oxford, United Kingdom, Doctor of Philosophy, Physics

2004

Postdoctoral Fellow, University of Cologne, Germany, in the Statistical Physics and Quantitative Biology Group of Professor Michael Lässig

2001

Helsinki University of Technology, Finland, Master of Science in Technology