SNOW, a web-based tool for the statistical analysis of protein-protein interaction networks
Understanding the structure and the dynamics of the complex intercellular network of interactions that contributes to the structure and function of a living cell is one of the main challenges of today's biology. SNOW inputs a collection of protein (or gene) identifiers and, by using the interac...
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Published in | Nucleic acids research Vol. 37; no. suppl-2; pp. W109 - W114 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
England
Oxford University Press
01.07.2009
Oxford Publishing Limited (England) |
Subjects | |
Online Access | Get full text |
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Summary: | Understanding the structure and the dynamics of the complex intercellular network of interactions that contributes to the structure and function of a living cell is one of the main challenges of today's biology. SNOW inputs a collection of protein (or gene) identifiers and, by using the interactome as scaffold, draws the connections among them, calculates several relevant network parameters and, as a novelty among the rest of tools of its class, it estimates their statistical significance. The parameters calculated for each node are: connectivity, betweenness and clustering coefficient. It also calculates the number of components, number of bicomponents and articulation points. An interactive network viewer is also available to explore the resulting network. SNOW is available at http://snow.bioinfo.cipf.es. |
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Bibliography: | ArticleID:gkp402 istex:DB2A161F545B8D073460F121FE8EF1A76DF5EF91 ark:/67375/HXZ-KXRWFK7V-L ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0305-1048 1362-4962 |
DOI: | 10.1093/nar/gkp402 |