metaSHARK: a WWW platform for interactive exploration of metabolic networks

Abstract

The metaSHARK ( metabolic search and reconstruction kit) web server offers users an intuitive, fully interactive way to explore the KEGG metabolic network via a WWW browser. Metabolic reconstruction information for specific organisms, produced by our automated SHARKhunt tool or from other programs or genome annotations, may be uploaded to the website and overlaid on the generic network. Additional data from gene expression experiments can also be incorporated, allowing the visualization of differential gene expression in the context of the predicted metabolic network. metaSHARK is available at http://bioinformatics.leeds.ac.uk/shark/.

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Item Type:	Article
Authors/Creators:	Hyland, C. Pinney, J.W. McConkey, G.A. https://orcid.org/0000-0001-6529-794X Westhead, D.R.
Copyright, Publisher and Additional Information:	© The Author 2006. The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated.
Keywords:	genomes; sequence; PLASMODIUM-FALCIPARUM; database; biology; pathways
Dates:	Accepted: 21 March 2006 Published: 1 July 2006
Institution:	The University of Leeds
Academic Units:	The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Biology (Leeds)
Date Deposited:	17 Mar 2026 17:23
Last Modified:	17 Mar 2026 17:23
Status:	Published
Publisher:	Oxford University Press
Identification Number:	10.1093/nar/gkl196
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:233396

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metaSHARK: a WWW platform for interactive exploration of metabolic networks

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