Linking Life Science Data: Final speakers and agenda

There are just three weeks to go until our conference, Linking Life Science Data: From Design to Implementation, and Beyond. If you haven’t yet registered, attendance is free and there are still places available:

Register now

The conference will include a variety of expert speakers and open discussions on linking data in the life sciences domain. The full agenda is now finalised and we look forward to seeing you there.

We are also pleased to present the submissions for our poster competition, which will be held at the conference on the evening of 18 February. See below for the list of entrants and poster abstracts.

[…]

Conference: SWAT4LS 2015

SWAT4LS International Conference 2015, Cambridge, UK Anna Gaulton (European Bioinformatics Institute) presented a poster: Semantic-Web Access to Patent Annotations Alasdair Gray (Heriot-Watt University) gave a presentation: Validata: An online tool for testing RDF data conformance Ryan Miller (Maastricht University) presented a poster: Where do you go from here? Semantics of directions in biological pathways Núria Queralt-Rosinach (IMIM) gave a Read more about Conference: SWAT4LS 2015[…]

Conference: BioMedBridges: Open Bridges for Life Science Data

BioMedBridges Symposium: Open Bridges for Life Science Data, Hinxton, UK Open PHACTS organised a workshop, and Núria Queralt (Universitat Pompeu Fabra) presented a poster: DisGeNET: applying semantic web and network analysis approaches for the integration and analysis of gene-disease associations for translational research and drug design

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 text-mined data, covers information on Read more about Publication: DisGeNET: a discovery platform for the dynamical exploration of human diseases and their genes[…]

Publication: Publishing DisGeNET as Nanopublications

The increasing and unprecedented publication rate in the biomedical field is a major bottleneck for discovery in Life Sciences. Although the scientific community is limited an inability to manually curate facts from published papers, recent approaches enable the automatic, scalable and reliable extraction of assertions from the scientific literature. While the publication of assertions on Read more about Publication: Publishing DisGeNET as Nanopublications[…]

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 relationships between biomedical entities with Read more about Publication: Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research[…]

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

Publication: A Knowledge-Driven Approach to Extract Disease-Related Biomarkers from the Literature

The biomedical literature represents a rich source of biomarker information. However, both the size of literature databases and their lack of standardization hamper the automatic exploitation of the information contained in these resources. Text mining approaches have proven to be useful for the exploitation of information contained in the scientific publications. Here, we show that Read more about Publication: A Knowledge-Driven Approach to Extract Disease-Related Biomarkers from the Literature[…]