artMS
This is the development version of artMS; for the stable release version, see artMS.
Analytical R tools for Mass Spectrometry
Bioconductor version: Development (3.24)
artMS provides a set of tools for the analysis of proteomics label-free datasets. It takes as input the MaxQuant search result output (evidence.txt file) and performs quality control, relative quantification using MSstats, downstream analysis and integration. artMS also provides a set of functions to re-format and make it compatible with other analytical tools, including, SAINTq, SAINTexpress, Phosfate, and PHOTON. Check [http://artms.org](http://artms.org) for details.
Author: David Jimenez-Morales [aut, cre]
, Alexandre Rosa Campos [aut, ctb]
, John Von Dollen [aut], Nevan Krogan [aut]
, Danielle Swaney [aut, ctb]
Maintainer: David Jimenez-Morales <biodavidjm at gmail.com>
citation("artMS")):
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.
Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
BiocManager::install("artMS")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
| Reference Manual |
Details
| biocViews | Annotation, BiomedicalInformatics, Clustering, DifferentialExpression, GeneSetEnrichment, ImmunoOncology, MassSpectrometry, MultipleComparison, Normalization, Proteomics, QualityControl, Software, SystemsBiology |
| Version | 1.31.0 |
| In Bioconductor since | BioC 3.8 (R-3.5) (8 years) |
| License | GPL (>= 3) + file LICENSE |
| Depends | R (>= 4.1.0) |
| Imports | AnnotationDbi, bit64, circlize, cluster, corrplot, data.table, dplyr, getopt, ggdendro, ggplot2, gplots, ggrepel, graphics, grDevices, grid, limma, MSstats, openxlsx, org.Hs.eg.db, pheatmap, plotly, plyr, RColorBrewer, scales, seqinr, stats, stringr, tidyr, UpSetR, utils, VennDiagram, yaml |
| System Requirements | |
| URL | http://artms.org |
| Bug Reports | https://github.com/biodavidjm/artMS/issues |
See More
| Suggests | BiocStyle, ComplexHeatmap, factoextra, FactoMineR, gProfileR, knitr, PerformanceAnalytics, org.Mm.eg.db, rmarkdown, testthat |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | |
| Windows Binary (x86_64) | |
| macOS Binary (big-sur-x86_64) | |
| macOS Binary (sonoma-arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/artMS |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/artMS |
| Package Short Url | https://bioconductor.org/packages/artMS/ |
| Package Downloads Report | Download Stats |