Our research activity focuses on different aspects of gene regulation and genetic variation. On one hand, we are interested in the evolution and variation of regulatory elements in the human genome. On the other, we are working towards the integration of genetically predicted molecular phenotypes in predictive models, especially towards behavioral, neuropsychiatric and neuroimaging-derived complex traits. 

The unit also collaborates with several experimental laboratories providing bioinformatics and data-mining expertise. We specialize in GWAS interpretation (genetic and epigenetic fine-mapping, colocalization analysis, Mendelian randomization, TWAS); analysis of bulk transcriptomics  (differential expression, pathway enrichment analysis); single cell omics (clustering, marker analysis, omics integration); epigenomic assays (ChIP-seq, bulk/single-cell ATAC-seq).

Computational Biology Unit

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Computational Biology Unit

Org chart

Teams

Offices

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