Computational Genomics

We combine computational and experimental approaches to further understand genetic and phenotypic variation on a genome-wide scale. Our research is articulated along two axes: advancing our understanding of gene regulation through quantitative modeling and developing methods to study the mechanisms by which genetic variants condition phenotypes.

Selected Publications
Gagneur et al. Genotype-environment interactions reveal causal pathways that mediate genetic effects on phenotype. PLoS Genet (2013)
Xu et al. Antisense expression increases gene expression variability and locus interdependency. Mol Syst Biol (2011)
Bauer et al. GOing Bayesian: model-based gene set analysis of genome-scale data. Nucleic Acids Res (2010)
Zinzen et al. Combinatorial binding predicts spatio-temporal cis-regulatory activity. Nature (2009)
Gagneur et al. Genome-wide allele- and strand-specific expression profiling. Mol Syst Biol (2009)
Xu et al. Bidirectional promoters generate pervasive transcription in yeast. Nature (2009)
SMPGD Conference: 12-13 Feb. 2015

Together with the group of Anne-Laure Boulesteix, we are hosting on 12-13 February 2015 the annual conference Statistical Methods for Post Genomic Data (SMPGD). Visit the website to register!



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