PMID:17940092
| Citation |
Karp, PD, Keseler, IM, Shearer, A, Latendresse, M, Krummenacker, M, Paley, SM, Paulsen, I, Collado-Vides, J, Gama-Castro, S, Peralta-Gil, M, Santos-Zavaleta, A, Peñaloza-Spínola, MI, Bonavides-Martinez, C and Ingraham, J (2007) Multidimensional annotation of the Escherichia coli K-12 genome. Nucleic Acids Res. 35:7577-90 |
|---|---|
| Abstract |
The annotation of the Escherichia coli K-12 genome in the EcoCyc database is one of the most accurate, complete and multidimensional genome annotations. Of the 4460 E. coli genes, EcoCyc assigns biochemical functions to 76%, and 66% of all genes had their functions determined experimentally. EcoCyc assigns E. coli genes to Gene Ontology and to MultiFun. Seventy-five percent of gene products contain reviews authored by the EcoCyc project that summarize the experimental literature about the gene product. EcoCyc information was derived from 15 000 publications. The database contains extensive descriptions of E. coli cellular networks, describing its metabolic, transport and transcriptional regulatory processes. A comparison to genome annotations for other model organisms shows that the E. coli genome contains the most experimentally determined gene functions in both relative and absolute terms: 2941 (66%) for E. coli, 2319 (37%) for Saccharomyces cerevisiae, 1816 (5%) for Arabidopsis thaliana, 1456 (4%) for Mus musculus and 614 (4%) for Drosophila melanogaster. Database queries to EcoCyc survey the global properties of E. coli cellular networks and illuminate the extent of information gaps for E. coli, such as dead-end metabolites. EcoCyc provides a genome browser with novel properties, and a novel interactive display of transcriptional regulatory networks. |
| Links |
PubMed PMC2190727 Online version:10.1093/nar/gkm740 |
| Keywords |
Computational Biology; Databases, Genetic; Escherichia coli K12/genetics; Escherichia coli K12/metabolism; Escherichia coli Proteins/genetics; Escherichia coli Proteins/physiology; Gene Regulatory Networks; Genes, Bacterial; Genome, Bacterial; Software |
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