The Reactome pathway Knowledgebase

Antonio Fabregat(European Bioinformatics Institute), Konstantinos Sidiropoulos(European Bioinformatics Institute), Phani Garapati(European Bioinformatics Institute), Marc Gillespie(Ontario Institute for Cancer Research), Kerstin Hausmann(European Bioinformatics Institute), Robin Haw(Ontario Institute for Cancer Research), Bijay Jassal(Ontario Institute for Cancer Research), S Jupe(European Bioinformatics Institute), Florian Korninger(European Bioinformatics Institute), Sheldon McKay(Ontario Institute for Cancer Research), Lisa Matthews(New York University), Bruce May(Ontario Institute for Cancer Research), M Orlic-Milacic(Ontario Institute for Cancer Research), Karen Rothfels(Ontario Institute for Cancer Research), Veronica Shamovsky(New York University), Marissa Webber(Ontario Institute for Cancer Research), Joel Weiser(Ontario Institute for Cancer Research), Mark Williams(European Bioinformatics Institute), Guanming Wu(Ontario Institute for Cancer Research), Lincoln Stein(Ontario Institute for Cancer Research), Henning Hermjakob(European Bioinformatics Institute), Peter D’Eustachio(New York University)
Nucleic Acids Research
December 9, 2015
Cited by 6,012Open Access
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Abstract

The Reactome Knowledgebase (www.reactome.org) provides molecular details of signal transduction, transport, DNA replication, metabolism and other cellular processes as an ordered network of molecular transformations-an extended version of a classic metabolic map, in a single consistent data model. Reactome functions both as an archive of biological processes and as a tool for discovering unexpected functional relationships in data such as gene expression pattern surveys or somatic mutation catalogues from tumour cells. Over the last two years we redeveloped major components of the Reactome web interface to improve usability, responsiveness and data visualization. A new pathway diagram viewer provides a faster, clearer interface and smooth zooming from the entire reaction network to the details of individual reactions. Tool performance for analysis of user datasets has been substantially improved, now generating detailed results for genome-wide expression datasets within seconds. The analysis module can now be accessed through a RESTFul interface, facilitating its inclusion in third party applications. A new overview module allows the visualization of analysis results on a genome-wide Reactome pathway hierarchy using a single screen page. The search interface now provides auto-completion as well as a faceted search to narrow result lists efficiently.


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