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Base Functions and Classes for MS-based Proteomics

Bioconductor version: Release (3.1)

Basic plotting, data manipulation and processing of MS-based Proteomics data.

Author: Laurent Gatto <lg390 at> with contributions from Guangchuang Yu, Samuel Wieczorek, Vasile-Cosmin Lazar, Vladislav Petyuk, Thomas Naake and Sebastian Gibb.

Maintainer: Laurent Gatto <lg390 at>

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PDF R Script Base Functions and Classes for MS-based Proteomics
PDF R Script MSnbase development
PDF R Script MSnbase IO capabilities
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biocViews DataImport, Infrastructure, MassSpectrometry, Proteomics, QualityControl, Software
Version 1.16.2
In Bioconductor since BioC 2.8 (R-2.13) (4.5 years)
License Artistic-2.0
Depends R (>= 3.1), methods, BiocGenerics(>= 0.7.1), Biobase(>= 2.15.2), mzR, BiocParallel, ProtGenerics
Imports plyr, IRanges, preprocessCore, vsn, grid, reshape2, stats4, affy, impute, pcaMethods, mzID(>= 1.5.2), MALDIquant (>= 1.12.0), digest, lattice, ggplot2, S4Vectors, Rcpp
LinkingTo Rcpp
Suggests testthat, zoo, knitr (>= 1.1.0), rols, Rdisop, pRoloc, pRolocdata(>= 1.0.7), msdata, roxygen2, rgl, BiocStyle, imputeLCMD, norm, gplots
Depends On Me msmsEDA, msmsTests, MSstats, ProCoNA, pRoloc, pRolocdata, pRolocGUI, proteoQC, RforProteomics, synapter
Imports Me MSnID, Pbase
Suggests Me BiocGenerics, isobar, qcmetrics, rpx
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