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MSstatsBioNet

This is the development version of MSstatsBioNet; for the stable release version, see MSstatsBioNet.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21

Network Analysis for MS-based Proteomics Experiments

DOI: 10.18129/B9.bioc.MSstatsBioNet

Bioconductor version: Development (3.24)

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.

Author: Anthony Wu [aut, cre] ORCID: 0009-0001-7391-9902 , Olga Vitek [aut] ORCID: 0000-0003-1728-1104

Maintainer: Anthony Wu <wu.anthon at northeastern.edu>

Citation (from within R, enter citation("MSstatsBioNet")):

Anthony Wu, Olga Vitek. MSstatsBioNet: Network Analysis for MS-based Proteomics Experiments. doi:10.18129/B9.bioc.MSstatsBioNet, R package version 1.5.4, https://bioconductor.org/packages/MSstatsBioNet.

Generated from the package metadata; it may differ from the package's own citation.

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("MSstatsBioNet")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("MSstatsBioNet")

Details

Package Archives

Follow Installation instructions to use this package in your R session.