1. Reactome knowledgebase of human biological pathways and processes
- Author
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David B. Croft, Ewan Birney, Esther Schmidt, Alexander Kanapin, Henning Hermjakob, Lisa Matthews, Guanming Wu, Lincoln Stein, Imre Vastrik, Shahana S. Mahajan, Marc Gillespie, Phani V. Garapati, Peter D'Eustachio, Bijay Jassal, Michael Caudy, Bruce May, Suzanna E. Lewis, Gopal Gopinath, Bernard de Bono, and Jill Hemish
- Subjects
animal structures ,Computational biology ,Biology ,Bioinformatics ,Biological pathway ,03 medical and health sciences ,0302 clinical medicine ,Prediction methods ,Genetics ,Animals ,Humans ,Data content ,Databases, Protein ,Human proteins ,Physiological Phenomena ,Physiological Phenomenon ,030304 developmental biology ,0303 health sciences ,Extramural ,Proteins ,Articles ,Systems Integration ,ComputingMethodologies_PATTERNRECOGNITION ,Open source ,030220 oncology & carcinogenesis ,Proteins metabolism ,Models, Animal ,Metabolic Networks and Pathways ,Software ,Signal Transduction - Abstract
Reactome (http://www.reactome.org) is an expert-authored, peer-reviewed knowledgebase of human reactions and pathways that functions as a data mining resource and electronic textbook. Its current release includes 2975 human proteins, 2907 reactions and 4455 literature citations. A new entity-level pathway viewer and improved search and data mining tools facilitate searching and visualizing pathway data and the analysis of user-supplied high-throughput data sets. Reactome has increased its utility to the model organism communities with improved orthology prediction methods allowing pathway inference for 22 species and through collaborations to create manually curated Reactome pathway datasets for species including Arabidopsis, Oryza sativa (rice), Drosophila and Gallus gallus (chicken). Reactome's data content and software can all be freely used and redistributed under open source terms.
- Published
- 2009
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