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Focusing on
Specific problems we are currently working on include:
Exposomics
Developing statistical methods and tools to deal with omic and exposome data Read More
Next Generation Sequencing
Developing analysis tools and statistical methods to detect mosaicims and analyze RNA-seq data Read More
Genomic Inversions
Developing analysis tools and new statistical methods to detect inversions using SNParray data and a... Read More
CNVs and imputed SNPs
Developing models to incorporate uncertainty in genetic association studies Read More
Genetic mosaicisms and health
We have developed a method (MAD) to detect genetic mosaicisms using SNP array data that has been use... Read More
Data Protection
Developing non-disclosive statistical methods and tools to study omic and exposome data Read More
Our Team
9 researchers from ISGlobal, 4 external collaborators and 9 Alumni
Statistician. With a background in Physics (Universidad Nacional de Colombia) and a PhD in Physics (Cambridge University), works in development and implementation of data analysis methods for testing association in polymorphic inversions.
Alejandro Caceres
Postdoctoral Researcher in DCEX-UPF. He obtained his PhD in Biomedicine (UPF) on 2020 and he collaborates with the BRGE.
Carlos Ruiz-Arenas
Pre-Doctoral Researcher with a background in Informatics (BSc - UdL), Statistics (BSc - UAB) and Omics Data Analysis (MSc - UVic) is currently working on her PhD in Bioinformatics (UAB) to perform Scalable computational methods for the analysis of big data in precision medicine.
Dolors Pelegrí-Sisó
Statistician at the hospital del mar research institute (IMIM) he obtained his PhD in Statistics (from UB) on 2014 and collaborates with the BRGE developing new methods for genomic data analysis and mutliomics analysis.
Isaac Subirana
Data Manager from ISGlobal who collaborates with BRGE giving technical support to Pre-Doctoral students.
Jose Urquiza
Associate Research Professor at ISGlobal.
Leading the bioinformatic group in genetic epidemiology (BRGE). Assistant Professor at the Department of Mathematics at Autonomous University of Barcelona (UAB).
Juan R. González
Pre-Doctoral Researcher with a background in Genetics (BSc - UAB) and Bioinformatics (MSc – UAB). She is currently working on her PhD in Bioinformatics (UAB) about SNP-genotyped structural variants and their relation with the exposome, different omic layers and neurodevelopmental outcomes....
Laura Balagué-Dobón
Pre-Doctoral researcher at BRGE and DataSHIELD team. She has a background in Biomedical Engineering (BSc – MU) and Bioinformatics and Biostatistics (MSc – UOC). She is currently working on her PhD in Bioinformatics (UAB) developing privacy-preserving tools for personalized medicine in rare diseases ...
Leire Abarrategui
SOFTWARE
We have developed some packages included in Bioconductor and the R project in collaboration with other researches from different institutions. Some of these libraries are related to genetics and other ones to survival analysis with recurrent events. Most of the packages are available at Bioconductor or CRAN. The devel version of these packages are available at our GitHub account (BRGE - https://github.com/isglobal-brge)
This package was built when I was working at Xavier Estivill’s lab at Center for Genomic Regulation and it is written in collaboration with Victor Moreno and his colleagues. The R package SN...
rexposome is an R package for exposome characterization and exposome-outcome test association. It was developed by Carles Hernandez-Ferrer as part of its PhD project and used in the analysis...
The *Comparative Toxicogenomics Database* is a public resource for toxicogenomic information manually curated from the peer-reviewed scientific literature about chemicals, gene and health ou...
This R package is built to extend the capabilities of the R package rexposome and to allow to find exposome molecular signatures. This is archived by implementing a limma wrapper that works ...
This is a joint work with Benjamin Rodriguez-Santiago (qGenomics) and Luis Pérez-Jurado (UPF). MAD is a software tool to detect mosaic events from SNP arrays using BAF and LRR values. The al...
`inveRsion` is an R package for the detection of genetic inversions using SNP-array data. This is a joint collaboration with Alejandro Caceres (ISGlobal) and Suzanne Sindi (Center for Comput...
`tweeDEseq` is an R package for analyzing RNAseq count data. It implements Poisson-Tweedie family of distributions to model count data distribution. This family includes Poisson and Negative...
Joint with Alejandro Cáceres (ISGlobal), we have developed a method that can be applied to common GWAS for calling the inversion genotypes, which accounts for population stratification when ...