MSstatsLiP

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

LiP Significance Analysis in shotgun mass spectrometry-based proteomic experiments


Bioconductor version: Development (3.21)

Tools for LiP peptide and protein significance analysis. Provides functions for summarization, estimation of LiP peptide abundance, and detection of changes across conditions. Utilizes functionality across the MSstats family of packages.

Author: Devon Kohler [aut, cre], Tsung-Heng Tsai [aut], Ting Huang [aut], Mateusz Staniak [aut], Meena Choi [aut], Valentina Cappelletti [aut], Liliana Malinovska [aut], Olga Vitek [aut]

Maintainer: Devon Kohler <kohler.d at northeastern.edu>

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

Installation

To install this package, start R (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("MSstatsLiP")

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

Documentation

Reference Manual PDF

Details

biocViews DifferentialExpression, ImmunoOncology, MassSpectrometry, Normalization, OneChannel, Proteomics, QualityControl, Software, TwoChannel
Version 1.13.0
In Bioconductor since BioC 3.14 (R-4.1) (3 years)
License Artistic-2.0
Depends R (>= 4.1)
Imports dplyr, gridExtra, stringr, ggplot2, grDevices, MSstats, MSstatsConvert, data.table, Biostrings, MSstatsPTM, Rcpp, checkmate, factoextra, ggpubr, purrr, tibble, tidyr, tidyverse, scales, stats
System Requirements
URL
Bug Reports https://github.com/Vitek-Lab/MSstatsLiP/issues
See More
Suggests BiocStyle, knitr, rmarkdown, covr, tinytest, gghighlight
Linking To Rcpp
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 (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/MSstatsLiP
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/MSstatsLiP
Package Short Url https://bioconductor.org/packages/MSstatsLiP/
Package Downloads Report Download Stats