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.
|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!