Title: Statistical analysis for Methylation-Sensitive Amplification
Authors@R: person("Andres", "Perez-Figueroa", role = c("aut", "cre"),
Description: Statistical Analyses of Methylation Sensitive

Title: Statistical analysis for Methylation-sensitive Amplification
Description: Statistical Analyses of Methylation-sensitive

Depends: R (>= 2.14.0), ade4, scrime, pegas, cba, ape

Authors@R: c(person("Andres", "Perez-Figueroa", role = c("aut", "cre"), email = "anpefi@uvigo.es"))
Author: Andres Perez-Figueroa [aut, cre]
Description: Statistical Analyses of Methylation-sensitive Amplification Polymorphism (MSAP) assays.

Title: Draws diagrams (mis)representing the results of mass spec
Imports: GO.db, org.Hs.eg.db, org.Mm.eg.db, AnnotationDbi, gplots
Description: Clusters Uniprot terms by GO category, then draws diagrams
showing the results in hierarchical clusters, with lines for
individual proteins, showing their score with the length of the
line.  The results are in general not publication-ready, but
will rather require editing via Illustrator or some similar

showing the results in hierarchical clusters, with lines for individual
proteins, showing their score with the length of the line.  The results
are in general not publication-ready, but will rather require editing

Package: msarc
Version: 1.4.3
License: Artistic-2.0
Date: 2014-12-04
Title: Draw Diagrams (mis)Representing the Results of Mass Spec
Experiments
Author: Gord Brown, Hisham Mohammed
Maintainer: Gord Brown <gdbzork@gmail.com>
Depends: R (>= 2.14.0)
Imports: AnnotationDbi, gplots, XLConnect, wordcloud, RColorBrewer
Suggests: GO.db, org.Hs.eg.db, org.Mm.eg.db
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.
Packaged: 2014-12-04 17:33:13 UTC; brown22
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-12-04 19:00:51