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Latendresse M, Paley S, Karp PD. Browsing metabolic and regulatory networks with BioCyc. Methods Mol Biol. 2012;804:197-216doi: 10.1007/978-1-61779-361-5_11.
Latendresse, M., Paley, S., & Karp, P. D. (2012). Browsing metabolic and regulatory networks with BioCyc. Methods in molecular biology (Clifton, N.J.), 804197-216. https://doi.org/10.1007/978-1-61779-361-5_11
Latendresse, Mario, et al. "Browsing metabolic and regulatory networks with BioCyc." Methods in molecular biology (Clifton, N.J.) vol. 804 (2012): 197-216. doi: https://doi.org/10.1007/978-1-61779-361-5_11
Latendresse M, Paley S, Karp PD. Browsing metabolic and regulatory networks with BioCyc. Methods Mol Biol. 2012;804:197-216. doi: 10.1007/978-1-61779-361-5_11. PMID: 22144155; PMCID: PMC3549617.
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Methods Mol Biol. 2012;804:197-216. doi: 10.1007/978-1-61779-361-5_11.

Browsing metabolic and regulatory networks with BioCyc.

Methods in molecular biology (Clifton, N.J.)

Mario Latendresse, Suzanne Paley, Peter D Karp

Affiliations

  1. SRI International, Menlo Park, CA, USA. [email protected]

PMID: 22144155 PMCID: PMC3549617 DOI: 10.1007/978-1-61779-361-5_11

Abstract

The BioCyc database collection at BioCyc.org integrates genome and cellular network information for more than 1,100 organisms. This method chapter describes Web-based tools for browsing metabolic and regulatory networks within BioCyc. These tools allow visualization of complete metabolic and regulatory networks, and allow the user to zoom-in on regions of the network of interest. The user can find objects of interest such as genes and metabolites within the networks, and can selectively examine the connectivity of the network. The EcoCyc database within the BioCyc collection has been extensively curated. The descriptions within EcoCyc of the Escherichia coli metabolic network and regulatory network were derived from thousands of publications. Other BioCyc databases received moderate levels of curation, or no curation at all. Those databases receiving no curation contain metabolic networks that were computationally inferred from the annotated genome sequences of each organism.

References

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