| Literature DB >> 27899665 |
Gautier Koscielny1,2, Peter An3,4, Denise Carvalho-Silva3,5, Jennifer A Cham3,5, Luca Fumis3,5, Rippa Gasparyan3,4, Samiul Hasan3,2, Nikiforos Karamanis3,5, Michael Maguire3,5, Eliseo Papa3,4, Andrea Pierleoni3,5, Miguel Pignatelli3,5, Theo Platt3,4, Francis Rowland3,5, Priyanka Wankar3,4, A Patrícia Bento3,5, Tony Burdett3,5, Antonio Fabregat3,5, Simon Forbes3,6, Anna Gaulton3,5, Cristina Yenyxe Gonzalez3,5, Henning Hermjakob3,5,7, Anne Hersey3,5, Steven Jupe3,5, Şenay Kafkas3,5, Maria Keays3,5, Catherine Leroy3,5, Francisco-Javier Lopez3,5, Maria Paula Magarinos3,5, James Malone3,5, Johanna McEntyre3,5, Alfonso Munoz-Pomer Fuentes3,5, Claire O'Donovan3,5, Irene Papatheodorou3,5, Helen Parkinson3,5, Barbara Palka3,5, Justin Paschall3,5, Robert Petryszak3,5, Naruemon Pratanwanich3,5, Sirarat Sarntivijal3,5, Gary Saunders3,5, Konstantinos Sidiropoulos3,5, Thomas Smith3,5, Zbyslaw Sondka3,6, Oliver Stegle3,5, Y Amy Tang3,5, Edward Turner3,5, Brendan Vaughan3,5, Olga Vrousgou3,5, Xavier Watkins3,5, Maria-Jesus Martin3,5, Philippe Sanseau3,2, Jessica Vamathevan5, Ewan Birney3,5, Jeffrey Barrett3,5,6, Ian Dunham8,5.
Abstract
We have designed and developed a data integration and visualization platform that provides evidence about the association of known and potential drug targets with diseases. The platform is designed to support identification and prioritization of biological targets for follow-up. Each drug target is linked to a disease using integrated genome-wide data from a broad range of data sources. The platform provides either a target-centric workflow to identify diseases that may be associated with a specific target, or a disease-centric workflow to identify targets that may be associated with a specific disease. Users can easily transition between these target- and disease-centric workflows. The Open Targets Validation Platform is accessible at https://www.targetvalidation.org.Entities:
Mesh：
Year: 2016 PMID： 27899665 PMCID： PMC5210543 DOI： 10.1093/nar/gkw1055
Source DB: PubMed Journal: Nucleic Acids Res ISSN： 0305-1048 Impact factor: 16.971