Open PHACTS Foundation

Linking Life Science Data: Final speakers and agenda

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Linking Life Science Data: Final speakers and agenda

On January 27, 2016, Posted by , In News, By ,,,,,,,,,,,,,,, , With Comments Off on 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.

Luca Bartek
University of Strathclyde		 Comparison of automated and manual patent chemistry extraction methods
Daniela Digles
University of Vienna		 Collecting compound data from public databases using Open PHACTS and KNIME
Jana Gurinova
University of Vienna		 Analysis of orphan diseases with a KNIME workflow using Open PHACTS, with the potential of drug repurposing
Emily Jamieson
Glasgow University
Eli Lilly and Company		 Variants, genes, and targets: An investigative pipeline utilising Open PHACTS linked data to establish meaningful connections
Tareq Malas
Leiden University Medical Center		 Drug target discovery using Open PHACTS
Lewis Mervin
University of Cambridge
AstraZeneca		 Application of an in silico mechanism-of-action protocol to high-content cytotoxicity screening data utilizing WikiPathway data extracted from Open PHACTS
Ryan Miller
Maastricht University		 “Where do you go from here?” Semantics of directions in biological pathways
Joseph Mullen
University of Newcastle upon Tyne		 DReNIn: An RDF dataset for drug repositioning
George Papadatos
EMBL-EBI		 Semantic-web access to patent annotations
Núria Queralt
Parc de Salut Mar (PSMAR)		 DisGeNET: a discovery platform to support translational research and drug discovery
Jeremy Yang
Indiana University		 Linking the Open Phenotypic Drug Discovery Resource (OPDDR)
Barbara Zdrazil
University of Vienna		 Using linked open data for assessing multi-target SAR
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