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NetWeAvers: an R package for integrative biological network analysis with mass spectrometry data.


ABSTRACT: SUMMARY: The discovery of functionally related groups in a set of significantly abundant proteins from a mass spectrometry experiment is an important step in a proteomics analysis pipeline. Here we describe NetWeAvers (Network Weighted Averages) for analyzing groups of regulated proteins in a network context, e.g. as defined by clusters of protein-protein interactions. NetWeAvers is an R package that provides a novel method for analyzing proteomics data integrated with biological networks. The method includes an algorithm for finding dense clusters of proteins and a permutation algorithm to calculate cluster P-values. Optional steps include summarizing quantified peptide values to single protein values and testing for differential expression, such that the data input can simply be a list of identified and quantified peaks. AVAILABILITY AND IMPLEMENTATION: ?The NetWeAvers package is written in R, is open source and is freely available on CRAN and from netweavers.erasmusmc.nl under the GPL-v2 license. CONTACT: e.mcclellan@erasmusmc.nl

SUBMITTER: McClellan EA 

PROVIDER: S-EPMC3810856 | biostudies-other | 2013 Nov

REPOSITORIES: biostudies-other

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NetWeAvers: an R package for integrative biological network analysis with mass spectrometry data.

McClellan Elizabeth A EA   Moerland Perry D PD   van der Spek Peter J PJ   Stubbs Andrew P AP  

Bioinformatics (Oxford, England) 20130904 22


<h4>Summary</h4>The discovery of functionally related groups in a set of significantly abundant proteins from a mass spectrometry experiment is an important step in a proteomics analysis pipeline. Here we describe NetWeAvers (Network Weighted Averages) for analyzing groups of regulated proteins in a network context, e.g. as defined by clusters of protein-protein interactions. NetWeAvers is an R package that provides a novel method for analyzing proteomics data integrated with biological networks  ...[more]

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