Dates: 19-20 April, 2018


The 6th RECOMB Satellite on Computational Methods in Genetics will focus on current research at the intersection of genetics, computer science, statistics, and related fields in gathering and analyzing SNP and haplotype data and applying it to problems in medicine and basic research. Population genetics allows more refined understanding of the demographic history of our species, association analysis provides insights regarding the functional and molecular underpinnings of diseases and traits, while clinical applications suggest genetics as a trailblazer into personalized medicine. The complex bioinformatic questions arising range from inferring more nuanced statistical models of genetic information to algorithms that overcome the complexity challenges of analyzing millions of SNPs across millions of individuals, to systems level challenges of handling such Big Data repositories of genotypes and phenotypes.

Schedule at-a-glance

Thursday April 19th
RECOMB Genetics I

  • Welcome address


  • Alexis Battle (Keynote)


    Shared with RECOMB-SEQ

  • Session 1


  • Coffee break


  • Lluis Quintana-Murci (Keynote)


    Population genetics and genomics of immunity to infection

Friday April 20th
RECOMB Genetics II

  • Romain Koszul (Keynote)


  • Coffee break


  • Laurent Excoffier (Keynote)


    The perils of inferring past demography from genomic data

  • Session 2


  • Lunch break


    Roam the streets of Paris...

  • Session 3


  • Coffee break


  • Jian Yang (Keynote)


  • Poster session


  • Opening reception + Registration


    Open to both RECOMB and satellites participants

Session 1

  • Aritra Bose, Filippo Utro, Daniel Platt and Laxmi ParidaAlgorithms to modulate ARG by Selection
  • Cesar Fortes-Lima, Romain Laurent and Paul VerduComplex demographic histories of admixed populations reconstructed with Approximate Bayesian Computations
  • Yaxuan Wang, Luay NakhlehTowards an Accurate and Efficient Heuristic for Species/Gene Tree Co-estimation – might not be able to present

Session 2

  • Weiguang Mao and Maria ChikinaDataRemix: a universal data transformation for optimal inference from gene expression datasets
  • Florian Privé, Hugues Aschard and Michael G.B. BlumPredicting complex diseases: performance and robustness

Session 3

  • Andreea Dreau, Felicity Jones, Vrinda Venu and Ludmila GasparConstruction of individual recombination maps using linked-read sequencing data
  • Eyal Fisher, Elior Rahmani, Regev Schweiger, Eran Halperin and Saharon RossetEstimating cell-type composition from DNA methylation sequencing data
  • Svetlana Vinogradova, Saumya Gupta, Sébastien Vigneau and Alexander GimelbrantAllelic imbalances and variable clonal representation in GTEx Consortium data
  • Maud Fagny, John Platig, Marieke Kuijjer and John QuackenbushInvestigating cancer risk germline mutations using eQTL networks

Invited Speakers

Laurent Excoffier
University of Bern, Switzerland

Jian Yang
University of Queensland, Australia

Louis Quintana-Murci
Institut Pasteur, France

Romain Koszul
Institut Pasteur and CNRS, France

Accepted posters

  • Nathan Yang and Anthony KusalikA comparative study of genotype imputation programs.
  • Qian Peng, Kirk Wilhelmsen and Cindy EhlersPleiotropy between GWAS catalog traits and alcohol-related life events and substance-induced depressions in two independent populations.
  • Yan Yan, Connor Burbridge and Anthony KusaliTracking Top 20 Associations from Four Genome-Wide Association Study (GWAS) Programs with Varied Input Data Quantity.
  • Steering commitee

    Itsik Pe’er, Columbia University
    Eleazar Eskin, University of California, Los Angeles

    Program Committee Chairs

    Simon Gravel, McGill University, Canada
    Hugues Aschard, Institut Pasteur, France

    Program Committee

    Florence Demenais
    Jason Ernst
    Emmanuelle Genin
    Alexander Gusev
    Brent Kirkpatrick
    Po-Ru Loh
    Ion Mandoiu
    Sriram Sankararaman
    Bjarni Vilhjalmsson
    Benjamin Voight