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http://bura.brunel.ac.uk/handle/2438/9136
Title: | Comparative Pathway Analyzer - A web server for comparative analysis, clustering and visualization of metabolic networks in multiple organisms |
Authors: | Oehm, S Gilbert, D Tauch, A Stoye, J Goesmann, A |
Keywords: | Phenotype;Metabolic pathway;Comparative Pathway Analyzer;Multiple organisms;Metabolic networks |
Issue Date: | 2008 |
Publisher: | Oxford University Press |
Citation: | Nucleic Acids Research, 36(S2), W433 - W437, 2008 |
Abstract: | In order to understand the phenotype of any living system, it is essential to not only investigate its genes, but also the specific metabolic pathway variant of the organism of interest, ideally in comparison with other organisms. The Comparative Pathway Analyzer, CPA, calculates and displays the differences in metabolic reaction content between two sets of organisms. Because results are highly dependent on the distribution of organisms into these two sets and the appropriate definition of these sets often is not easy, we provide hierarchical clustering methods for the identification of significant groupings. CPA also visualizes the reaction content of several organisms simultaneously allowing easy comparison. Reaction annotation data and maps for visualizing the results are taken from the KEGG database. Additionally, users can upload their own annotation data. This website is free and open to all users and there is no login requirement. It is available at https://www.cebitec.uni-bielefeld.de/groups/brf/software/cpa/index.html. |
Description: | Copyright @ 2008 The Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/ by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
URI: | http://nar.oxfordjournals.org/content/36/suppl_2/W433 http://bura.brunel.ac.uk/handle/2438/9136 |
DOI: | http://dx.doi.org/10.1093/nar/gkn284 |
ISSN: | 0305-1048 |
Appears in Collections: | Computer Science Dept of Computer Science Research Papers |
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