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MSstatsBioNet

Network Analysis for MS-based Proteomics Experiments

Bioconductor version: 3.23 · Package version: 1.4.1

A set of tools for network analysis using mass spectrometry-based proteomics data and network databases. The package takes as input the output of MSstats differential abundance analysis and provides functions to perform enrichment analysis and visualization in the context of prior knowledge from past literature. Notably, this package integrates with INDRA, which is a database of biological networks extracted from the literature using text mining techniques.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("MSstatsBioNet")

Details

MaintainerAnthony Wu <wu.anthon@northeastern.edu>
AuthorAnthony Wu [aut, cre] (ORCID: <https://orcid.org/0009-0001-7391-9902>), Olga Vitek [aut] (ORCID: <https://orcid.org/0000-0003-1728-1104>)
Licensefile LICENSE
URLhttp://msstats.org, https://vitek-lab.github.io/MSstatsBioNet/
Bug Reportshttps://groups.google.com/forum/#!forum/msstats
Downloads rank297
Source branchRELEASE_3_23
biocViewsImmunoOncology, MassSpectrometry, Network, NetworkEnrichment, Proteomics, QualityControl, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageMSstatsBioNet_1.4.1.tar.gz
Windows binary (x86_64)MSstatsBioNet_1.4.1.zip
macOS binary (arm64)MSstatsBioNet_1.4.1.tgz
macOS binary (x86_64)MSstatsBioNet_1.4.1.tgz
Dependencies

Depends: R (>= 4.4.0), MSstats

Imports: httr, jsonlite, r2r, tidyr, htmlwidgets, grDevices, stats, text2vec, stopwords, xml2, rentrez

Suggests: data.table, BiocStyle, knitr, rmarkdown, testthat (>= 3.0.0), mockery, MSstatsConvert, shiny

Reverse dependencies

Imports Me (1): MSstatsShiny