The Bioinformatics of Genome Diversity group is aimed to explain the nature of genome variation and its relationship with phenotypic variation and fitness. A new dimension of genetic variation studies is provided by the complete genomes that are increasingly being deciphered (e.g. 1000 Genomes Project), as well as new high-throughput data coming from other omics layers, such as transcriptomic and epigenomic data from the ENCyclopedia Of Dna Elements (ENCODE/modENCODE) or the International Human Epigenome Consortium (IHEC). We follow an interdisciplinary approach, merging methods and knowhow from genomics, population genetics, data science, systems biology and bioinformatics, to address, both in Drosophila and humans, the following objectives:
(1) Mapping selection onto (a) embryo development in Drosophila and (B) human brain. Integrate information from population genomics data with recent knowledge on developmental genetics (Drosophila), single cell genomics and brain transcriptomics (humans) to get evidence of the evolution of embryonic development and human brain evolution at the microevolutionary level and test the selective importance of hierarchy in gene networks, pleiotropic interactions or preferential evolution of regulatory vs coding sequences.
(2) Define parameters that measure the adaptive potential of a genome. Recent evidence based on the patterns of genome diversity shows that many loci and genome regions are affected by recurrent linked selection (genetic draft). We aim to develop a new general statistical approach to estimate the fraction of adaptive substitutions of any genome region regardless of whether or not they are undergoing recurrent linked selective events.
(3) PopFly and PopHuman, the reference population genomics browsers of Drosophila and humans. Update our browsers with new genomic data that has been generated after the publication of the PopFly and PopHuman genome browsers and complement them with data from other species to become the reference population genomics browsers for eucaryotes.