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Pathway discovery in metabolic networks by subgraph extraction.

par Faust, Karoline ;Dupont, Pierre;Callut, Jérôme;van Helden, Jacques
Référence Bioinformatics, 26, 9, page (1211-1218)
Publication Publié, 2010-05

Article révisé par les pairs

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Résumé :

Subgraph extraction is a powerful technique to predict pathways from biological networks and a set of query items (e.g. genes, proteins, compounds, etc.). It can be applied to a variety of different data types, such as gene expression, protein levels, operons or phylogenetic profiles. In this article, we investigate different approaches to extract relevant pathways from metabolic networks. Although these approaches have been adapted to metabolic networks, they are generic enough to be adjusted to other biological networks as well.