The Reactome pathway Knowledgebase

The Reactome pathway Knowledgebase

2016, Vol. 44, Database issue | Antonio Fabregat, Konstantinos Sidiropoulos, Phani Garapati, Marc Gillespie, Kerstin Hausmann, Robin Haw, Bijay Jassal, Steven Jupe, Florian Korninger, Sheldon McKay, Lisa Matthews, Bruce May, Marija Milacic, Karen Rothfels, Veronica Shamovsky, Marissa Webber, Joel Weiser, Mark Williams, Guanming Wu, Lincoln Stein, Henning Hermjakob, Peter D'Eustachio
The Reactome Knowledgebase (www.reactome.org) is a comprehensive resource that provides molecular details of various cellular processes, including signal transduction, transport, DNA replication, and metabolism, as an ordered network of molecular transformations. It serves as both an archive of biological processes and a tool for discovering unexpected functional relationships in data such as gene expression patterns or somatic mutation catalogs from tumor cells. Over the past two years, Reactome has redeveloped its web interface to enhance usability, responsiveness, and data visualization. Key improvements include a new pathway diagram viewer for faster and smoother zooming, improved performance for analyzing user datasets, a RESTful interface for integration with third-party applications, and a new overview module for visualizing analysis results on a genome-wide Reactome pathway hierarchy. The search interface now includes auto-completion and faceted search for efficient result narrowing. These enhancements aim to provide users with faster and easier access to Reactome data, increasing its utility in both archival and experimental contexts.The Reactome Knowledgebase (www.reactome.org) is a comprehensive resource that provides molecular details of various cellular processes, including signal transduction, transport, DNA replication, and metabolism, as an ordered network of molecular transformations. It serves as both an archive of biological processes and a tool for discovering unexpected functional relationships in data such as gene expression patterns or somatic mutation catalogs from tumor cells. Over the past two years, Reactome has redeveloped its web interface to enhance usability, responsiveness, and data visualization. Key improvements include a new pathway diagram viewer for faster and smoother zooming, improved performance for analyzing user datasets, a RESTful interface for integration with third-party applications, and a new overview module for visualizing analysis results on a genome-wide Reactome pathway hierarchy. The search interface now includes auto-completion and faceted search for efficient result narrowing. These enhancements aim to provide users with faster and easier access to Reactome data, increasing its utility in both archival and experimental contexts.
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