title: Reactome: a knowledge base of biologic pathways and processes.
abstract: Reactome http://www.reactome.org, an online curated resource for human pathway data, provides infrastructure for computation across the biologic reaction network. We use Reactome to infer equivalent reactions in multiple nonhuman species, and present data on the reliability of these inferred reactions for the distantly related eukaryote Saccharomyces cerevisiae. Finally, we describe the use of Reactome both as a learning resource and as a computational tool to aid in the interpretation of microarrays and similar large-scale datasets.
authors: European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK. vastrik@ebi.ac.uk
authors: Imre
authors: I
authors: Vastrik
authors: Peter
authors: P
authors: D'Eustachio
authors: Esther
authors: E
authors: Schmidt
authors: Geeta
authors: G
authors: Joshi-Tope
authors: Gopal
authors: G
authors: Gopinath
authors: David
authors: D
authors: Croft
authors: Bernard
authors: B
authors: de Bono
authors: Marc
authors: M
authors: Gillespie
authors: Bijay
authors: B
authors: Jassal
authors: Suzanna
authors: S
authors: Lewis
authors: Lisa
authors: L
authors: Matthews
authors: Guanming
authors: G
authors: Wu
authors: Ewan
authors: E
authors: Birney
authors: Lincoln
authors: L
authors: Stein
mesh_terms: D000818:Animals; D019295:Computational Biology / Q000379:methods*; D019992:Databases as Topic; D006801:Humans; D020407:Internet; D051188:Knowledge Bases; D053858:Metabolic Networks and Pathways; D046228:Microarray Analysis; D012441:Saccharomyces cerevisiae; D049490:Systems Biology