Publication: DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes

DisGeNET is a comprehensive discovery platform designed to address a variety of questions concerning the genetic underpinning of human diseases. DisGeNET contains over 380 000 associations between >16 000 genes and 13 000 diseases, which makes it one of the largest repositories currently available of its kind. DisGeNET integrates expert-curated databases with…

Publication: Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research

Background Current biomedical research needs to leverage and exploit the large amount of information reported in scientific publications. Automated text mining approaches, in particular those aimed at finding relationships between entities, are key for identification of actionable knowledge from free text repositories. We present the BeFree system aimed at identifying…

Conference: 6th International Symposium on Semantic Mining in Biomedicine

6th International Symposium on Semantic Mining in Biomedicine (SMBM), Aveiro, Portugal Laura I. Furlong, Alex Bravo, Janet Piñero, Núria Queralt-Rosinach and Michael Rautschka (Parc de Salut Mar Barcelona) presented BeFree: a text mining system to extract relations between genes, diseases and drugs for translational researc

Conference: XII Symposium on Bioinformatics

XII Symposium on Bioinformatics, Sevilla, Italy Janet Piñero (Parc de Salut Mar Barcelona) presented a poster: DisGeNET: a discovery platform for the exploration of human diseases and their genes

Poster: DisGeNET: a discovery platform for the exploration of human diseases and their genes

XII Symposium on Bioinformatics, Sevilla, Italy View poster

Conference: 1st Network of BioThings Hackathon

1st Network of BioThings Hackathon, Maastricht, the Netherlands Núria Queralt-Rosinach and Janet Piñero Parc de Salut Mar Barcelona) represented Open PHACTS