agendas.irbbarcelona.orgGenomeDataLab @ IRB

this siteThe most up-to-date version of our website is at: www.GenomeDataLab.org // home / research interests [1] DNA repair genomics [2] mRNA quality control [3] cancer evolution [4] gene function inference / the team / projects ERC HYPER-INSIGHT H2020 DECIDER MICINN REPAIRSCAPE / our publications [1] DNA repair genomics [2] mRNA quality control [3] cancer evolution [4] gene function inference / software / join us // home / research interests [1] DNA repair genomics [2] mRNA quality control [3] cancer evolution [4] gene function inference / the team / projects ERC HYPER-INSIGHT H2020 DECIDER MICINN REPAIRSCAPE / our publications [1] DNA repair genomics [2] mRNA quality control [3] cancer evolution [4] gene function inference / software / join us More // home / research interests [1] DNA repair genomics [2] mRNA quality control [3] cancer evolution [4] gene function inference / the team / projects ERC HYPER-INSIGHT H2020 DECIDER MICINN REPAIRSCAPE / our publications [1] DNA repair genomics [2] mRNA quality control [3] cancer evolution [4] gene function inference / software / join us Genome Data Science laboratory // BIST / Institute for Research in Biomedicine (IRB Barcelona) / Cancer Science programme / @GenomeDataLab [1] genomics of DNA repair failures [2] transcriptome quality control [3] predicting cancer evolution [4] automated gene function inference In the GenomeDataLab, we use statistical genome analyses and machine learning methodologies for studies of massive genomic, epigenomic and transcriptomic data sets. We aim to address outstanding questions in biology and biomedicine by insightful analysis of data originating from human tumors (somatic mutations, transcriptomes), human populations (germline variation) and metagenomes (incl. human microbiomes). We study mechanisms of maintaining genome integrity in human cells via statistical analyses of mutation patterns in cancer . Next, w e are interested in how mRNA synthesis and turnover pathways shape genomes and transcriptomes in hea lth and disease . F inally, we c ombin e experimental work and genomics to scan cancer genomes for driver genes and for genetic interactions to predict tumor evolution and identify novel synthetic lethalities. read more about o ur research interests[ 1 ] [ 2 ] [ 3 ] [ 4 ] Some recent publications from the GenomeDataLab: Mas-Ponte & Supek (2020) Nature Genetics Salvadores, Fuster-Tormo & Supek (2020) Science Advances Lindeboom, Vermeulen, Lehner & Supek (2019) Nature Genetics read more about our work on: [ 1 ] genomics of DNA repair failures ; [2] transcriptome quality control ; [3] predicting ca ncer evolution ; and [4] automated gene function inference Meet the GenomeDataLab team: Fran Fran Supek group leader ICREA p rofessor EMBO YIP Daniel Marina David Marcel Iván Ignasi Víctor Miguel Bruno Guille Tiffany Liza more info on team membersfollow us on Twitter! @genome D ata L abWe gratefully acknowledge our funders: European Research Council ERC Starting Grant #757700 HYPER-INSIGHT " Insight into genome maintenance and cancer vulnerabilities provided by an extreme burden of somatic mutations " Fran Supek is an EMBO Young Investigator . Lab funding and fellowships are funded by the Severo Ochoa excellence award to the IRB Barcelona . PI is tenured by the ICREA Research Professor program . We are further funded by the European Union Horizon2020 program ( DECIDER ), the Spanish government ( REPAIRSCAPE ), the Catalan science agency , and the Croatian Science foundation. More information on projectsWe are a part of the Institute for Research in Biomedicine (IRB Barcelona), a member of the Barcelona Institute of Science and Technology : " Prediction is very difficult, especially about the future. "Niels Bohr. Report abuse Page details Page updated Report...