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msarc (version 1.4.3)

Draw Diagrams (mis)Representing the Results of Mass Spec Experiments

Description

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.

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Version

Install

install.packages('msarc')

Monthly Downloads

10

Version

1.4.3

License

Artistic-2.0

Maintainer

Gord Brown

Last Published

December 4th, 2014

Functions in msarc (1.4.3)

msarc.findGOterms

Map UniProt Ids to GO Terms
print.msarc

Display an msarc Object
msarc.loadTerms

Manipulate GO Term Lists
msarc.copyColors

Copy msarc Color Palette
sample_initial

Sample Objects for the msarc Package
msarc.plotHeatmap

Correlation Heat Maps for Mass Spec Experiments
msarc

Create msarc Object From Data Frame
msarc.subtract

Subtract Control From Experiment
sample_df

Sample Data for the msarc Package
msarc.plotSVG

Draw msarc Diagram
msarc.plotCircle

Draw msarc Diagram without GO categories
msarc.loadMS

Create msarc Object From Mass Spec Data
msarc.tagCloud

Draw Tag Cloud
msarc-package

msarc: Mass Spectrometry Experiment Plots