The EcoCyc Database
- PMID: 26442933
- PMCID: PMC4243172
- DOI: 10.1128/ecosalplus.ESP-0009-2013
The EcoCyc Database
Abstract
EcoCyc is a bioinformatics database available at EcoCyc.org that describes the genome and the biochemical machinery of Escherichia coli K-12 MG1655. The long-term goal of the project is to describe the complete 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. EcoCyc is an electronic reference source for E. coli biologists and for biologists who work with related microorganisms. The database includes information pages on each E. coli gene, metabolite, reaction, operon, and metabolic pathway. The database also includes information on E. coli gene essentiality and on nutrient conditions that do or do not support the growth of E. coli. The website and downloadable software contain tools for analysis of high-throughput data sets. In addition, a steady-state metabolic flux model is generated from each new version of EcoCyc. The model can predict metabolic flux rates, nutrient uptake rates, and growth rates for different gene knockouts and nutrient conditions. This review provides a detailed description of the data content of EcoCyc and of the procedures by which this content is generated.
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References
-
- Karp PD, Paley SM, Krummenacker M, Latendresse M, Dale JM, Lee T, et al. Pathway Tools version 13.0: Integrated Software for Pathway/Genome Informatics and Systems Biology. Brief Bioinform. 2010;11:40–79. doi: 10.1093/bib/bbp043. Available from: http://bib.oxfordjournals.org/cgi/content/abstract/bbp043. - DOI - PMC - PubMed
-
- Kim KS, Lee S, Ryu CM. Interspecific bacterial sensing through airborne signals modulates locomotion and drug resistance. Nat Commun. 2013;4:1809. - PubMed
-
- Rhodius V, Dyk TKV, Gross C, LaRossa RA. Impact of genomic technologies on studies of bacterial gene expression. Annu Rev Microbiol. 2002;56:599–624. - PubMed
-
- Gonzalez R, Tao H, Purvis JE, York SW, Shanmugam KT, Ingram LO. Gene array-based identification of changes that contribute to ethanol tolerance in ethanologenic Escherichia coli: Comparison of KO11 (parent) to LY01 (resistant mutant) Biotechnol Prog. 2003 Mar;19(2):612–623. - PubMed
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