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Article . 2009 . Peer-reviewed
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Rahnuma: hypergraph-based tool for metabolic pathway prediction and network comparison

Authors: Aziz Mithani; Gail M. Preston; Jotun Hein;

Rahnuma: hypergraph-based tool for metabolic pathway prediction and network comparison

Abstract

Abstract Summary:We present a tool called Rahnuma for prediction and analysis of metabolic pathways and comparison of metabolic networks. Rahnuma represents metabolic networks as hypergraphs and computes all possible pathways between two or more metabolites. It provides an intuitive way to answer biological ques- tions focusing on differences between organisms or the evolution of different species by allowing pathway-based metabolic network comparisons at an organism as well as at a phylogenetic level. Availability: Rahnuma is available online at http://portal.stats.ox.ac.uk:8080/rahnuma/. Contact: gail.preston@plants.ox.ac.uk Supplementary information: Supplementary data are available at the Bioinformatics online.

Country
United Kingdom
Related Organizations
Keywords

Statistics (see also social sciences), Plant Sciences, Computational Biology, Mathematical genetics and bioinformatics (statistics), Metabolic Networks and Pathways, Phylogeny, Software

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    53
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
53
Top 10%
Top 10%
Top 10%
Green
gold