His lab uses comparative transcriptomics and functional assays in model organisms to investigate the evolution of alternative splicing and its impact in complex polygenic human diseases, such as diabetes and autism.
Her lab investigates host/microbiome interactions with a focus on host genetic effects on the gut microbiome and the role of microbial transfers between social partners.
Her lab focuses on investigating human genomic diversity. They are particularly interested in the architecture of the genetic predisposition to complex disease and in human adaptive traits that have undergone positive selection during human evolution.
His lab is interested in human genomic diversity and how it relates to social and cultural aspects (ethnicity, surnames), to demographic history, or the natural history of human diseases, as well as its applications in forensic genetics.
His lab analyzes human genome diversity with the aim of inferring the genomic and population processes that are responsible for this diversity, and outlining the population and epidemiological consequences of the human genetic variability.
His lab studies why mutation rates vary across cell types and species, the mechanisms driving mutation, and their impact on evolution, aging, and disease.
Their lab develops machine learning methods to predict the effect of genomic variation on phenotype, with an emphasis on research that will directly impact the diagnostic yield of patient sequencing.
Her lab uses comparative transcriptomic, epitrancriptomics and translatomics to study how mosquito-borne viruses, such as dengue or zika viruses, efficiently translate and replicate their genomes in mosquitoes and humans, two hosts separated by one billion years in evolution.
Her lab leverages phylogenomics and comparative genomics to investigate animal genome evolution and the processes of adaptation and speciation, with a special focus on the origin of terrestrial biodiversity and the genomic changes that enabled animals to colonise land from a macroevolutionary perspective.
His lab focuses on understanding changes in genome regulation that lead to monogenic and polygenic diabetes, and on developing strategies to correct these changes in human patients.
His lab uses artificial evolution and ancestral evolutionary reconstructions to create new systems to enable more efficient and secure modification of the human genome and metagenome, as well as to create new biological functions with biotechnological relevance.
Her lab studies different aspects of human genome variation, population genetics, and disease susceptibility in the past and present Native American and Latin American populations.
Inspired by nature’s ability to optimize complex, non-linear problems, his lab specializes in applying natural computing algorithms, particularly evolutionary algorithms, to study key questions about a species's history and adaptation.
His lab interrogates genome diversity to infer what are the forces that affect living organisms, how and when they act and how they affect biodiversity, human emotions or the differential susceptibility of different people to certain diseases.
His team employs state-of-the-art genome sequencing in conjunction with functional multi-omics data to investigate the impact of repetitive DNA on genome function, evolution and disease.
His lab uses and develops single-cell omics methods to investigate the evolution of cell types in animals. He is co-coordinating the Biodiversity Cell Atlas (BCA) with the EBI-EMBL.
Our research focuses on the role of the human microbiome in mental health and the social transmission of the microbiome.
Her lab focuses on cancer as an evolutionary system. She is interested in different modes of selection active during tumorigenesis, happening in the coding or the non-coding part of the genome.
PRBB Building
Dr. Aiguader, 88
08003 Barcelona | Spain
https://orcid.org/0000-0002-2179-2567
