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Achievement: Arctic Code Vault ContributorAchievement: StarstruckAchievement: Pull Sharkx2

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Achievement: Arctic Code Vault ContributorAchievement: StarstruckAchievement: Pull Sharkx2

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@IARCbioinfo

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mfoll/README.md

Matthieu Foll

I am a computational biologist and Team Leader of the Computational Cancer Genomics team at the International Agency for Research on Cancer (IARC-WHO) in Lyon.

My research combines genomics, transcriptomics, epigenomics, single-cell and spatial data, and digital pathology to study tumour evolution and improve molecular classification. I work principally on thoracic and other poor-prognosis cancers.

Before moving into cancer genomics, I developed statistical and computational methods for population genetics and genomic inference. This work includes BayeScan, a Bayesian method for identifying loci under natural selection.

Research and software

Publications and profiles

ORCID · Google Scholar · PubMed bibliography · Full CV

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  1. cv cv Public template

    TeX

  2. IARCbioinfo/IARC-nf IARCbioinfo/IARC-nf Public

    List of IARC bioinformatics pipelines and resources

    58 10

  3. IARCbioinfo/needlestack IARCbioinfo/needlestack Public

    Multi-sample somatic variant caller

    R 52 13

  4. IARCbioinfo/alignment-nf IARCbioinfo/alignment-nf Public

    Whole Exome/Whole Genome Sequencing alignment pipeline

    Nextflow 30 13

  5. BayeScan BayeScan Public

    Detecting natural selection from population-based genetic data

    C++ 29 4

  6. BayeScanHierachical BayeScanHierachical Public

    Hierachical version of BayeScan to detect natural selection from population-based genetic data

    C++ 2 1