Reactome Knowledgebase of Human Biological Pathways and Processes
The Reactome Knowledgebase is an online, manually curated resource that provides an integrated view of the molecular details of human biological processes that range from metabolism to DNA replication and repair to signaling cascades. Its data model allows these diverse processes to be represented in a consistent way to facilitate usage as online text and as a resource for data mining, modeling, and analysis of large-scale expression data sets over the full range of human biological processes.
Key wordsBioMart Data aggregation Gene ontology High-throughput expression data Pathway analysis
The data, data model, and data analysis tools described in this chapter are the product of the collaborative work of curators and software developers at the Ontario Institute for Cancer Research (Lincoln Stein, Michael Caudy, Marc Gillespie, Robin Haw, Bruce May, Guanming Wu), the European Bioinformatics Institute (Ewan Birney, Henning Hermjakob, David Croft, Phani Garapati, Bijay Jassal, Steven Jupe, Gavin O’Kelly, Esther Schmidt) and the NYU School of Medicine (Peter D’Eustachio, Shahana Mahajan, Lisa Matthews). We are grateful to the many scientists who collaborated with us as authors and reviewers to build the content of the knowledgebase. Grants from the National Human Genome Research Institute/NIH (P41 HG003751) and the European Union 6th Framework Programme (LSHG-CT-2005-518254 “ENFIN” support development of the Knowledgebase.