The output of an affinity-purification mass spectrometry experiment is typically a list of proteins that were observed in the experiment, identified by UniProt identifiers (http://www.uniprot.org/). This package takes as input a list of UniProt identifiers, and the associated Mascot scores from the experiment (which indicate the likelihood that the protein has been correctly identified), clusters them by gene ontology category (http://geneontology.org/), then draws diagrams showing the results in hierarchical clusters by category, with lines for individual proteins representing the associated Mascot score. The results are in general not publication-ready, but will rather require editing via a graphics editor that can interpret SVG (scalable vector graphics) format. As an alternative representation, the package will also generate tag clouds based on the Mascot scores.
|Depends:||R (≥ 3.1.0)|
|Imports:||AnnotationDbi, gplots, XLConnect, wordcloud, RColorBrewer|
|Suggests:||GO.db, org.Hs.eg.db, org.Mm.eg.db|
|Author:||Gord Brown, Hisham Mohammed|
|Maintainer:||Gord Brown <gdbzork at gmail.com>|
|Citation:||msarc citation info|
|CRAN checks:||msarc results|
|Windows binaries:||r-devel: msarc_1.4.5.zip, r-release: msarc_1.4.5.zip, r-oldrel: msarc_1.4.5.zip|
|OS X Mavericks binaries:||r-release: msarc_1.4.5.tgz, r-oldrel: msarc_1.4.5.tgz|
|Old sources:||msarc archive|
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