Teams

The Snakemake-Workflows team develops best practice workflows for Snakemake

We are a computational research lab located at the Department of Genetics, Microbiology and Statistics of the University of Barcelona (UB). Our main interest is the interplay between genetic variation, gene expression and complex traits. We study the effects of genetic variants in molecular (both bulk and single cell transcriptome, epigenome, etc.) and organismic phenotypes at a population level, and their impact on health and disease. We have expertise in the development of novel statistical ...

This repository presents an objective, quantifiable method for assessing atopic dermatitis (AD) severity. The program integrates deep learning object detection with spatial analysis algorithms to accurately calculate the density of circular nano-size objects (CNOs), termed the Effective Corneocyte Topographical Index (ECTI). The ECTI demonstrates remarkable robustness in overcoming the inherent challenges of nano-imaging, such as environmental noise and structural occlusions on the corneocyte ...

Our goal is deciphering the complexity of microbial metabolism, its evolutionary and biotechnological implications through a multidisciplinary approach. By assuming that the whole is greater than the sum of its parts, we aim to contribute to a better understanding of the emergent properties of microbial systems at subcellular, cellular and supracellular levels. We pursuit the rational re-design of these system properties towards novel biotechnological and medical applications.

Our research is focused on understanding the clinical and genetic basis of inherited heart disease. We use a range of approaches including human gene discovery studies, basic cellular systems, animal models of human disease, and population-based psychosocial and public health studies.Our research involves state-of-the-art approaches including whole exome sequencing, mRNA and microRNA profiling, and RNASeq. Most importantly, we have the key clinical resources, including well phenotyped individual ...