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Publication Details

Multidimensional annotation of the Escherichia coli K-12 genome

by Karp, P.D. and Keseler, I.M. and Shearer, A. and Latendresse, M. and Krummenacker, M. and Paley, S.M. and Paulsen, I. and Collado-Vides, J. and Gama-Castro, S. and Peralta-Gil, M. and Santos-Zavaleta, A. and Penaloza-Spinola, M.I. and Bonavides-Martinez, C. and Ingraham, J.

Nucleic Acids Research, vol. 35, no. 22, pp. 7577-7590, 2007.

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.

Electronic Copies

DOI
10.1093/nar/gkm740

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Associated Projects

EcoCyc

EcoCyc: Encyclopedia of Escherichia coli Genes and Metabolism

EcoCyc is a bioinformatics database that describes the genome and the biochemical machinery of E. coli. The long-term goal of the project is to describe the molecular catalog of the E. coli cell, as well as the functions of each of its molecular parts, to facilitate a system-level understanding of E. coli.

AIC Personnel

Name Title E-mail
Karp, Peter D Director, Bioinformatics Research Group
Keseler, Ingrid M Senior Scientific Database Curator
Krummenacker, Markus Bioinformatics Scientist
Latendresse, Mario Computer Scientist
Paley, Suzanne Computer Scientist
Shearer, Alexander Biologist

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