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MSstatsLiP

LiP Significance Analysis in shotgun mass spectrometry-based proteomic experiments

Bioconductor version: 3.23 · Package version: 1.18.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

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.

DOI: 10.18129/B9.bioc.MSstatsLiP

Installation

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

BiocManager::install("MSstatsLiP")

Details

MaintainerAnthony Wu <wu.anthon@northeastern.edu>
AuthorDevon Kohler [aut], Anthony Wu [aut, cre], Tsung-Heng Tsai [aut], Deril Raju [aut], Ting Huang [aut], Mateusz Staniak [aut], Meena Choi [aut], Valentina Cappelletti [aut], Liliana Malinovska [aut], Olga Vitek [aut]
LicenseArtistic-2.0
Bug Reportshttps://github.com/Vitek-Lab/MSstatsLiP/issues
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsDifferentialExpression, ImmunoOncology, MassSpectrometry, Normalization, OneChannel, Proteomics, QualityControl, Software, TwoChannel
Package Short Url https://bioconductor.org/packages/MSstatsLiP/

Citation

From within R, enter citation("MSstatsLiP"):

Devon Kohler, Anthony Wu, Tsung-Heng Tsai, Deril Raju, Ting Huang, Mateusz Staniak, Meena Choi, Valentina Cappelletti, Liliana Malinovska, Olga Vitek. MSstatsLiP: LiP Significance Analysis in shotgun mass spectrometry-based proteomic experiments. doi:10.18129/B9.bioc.MSstatsLiP, R package version 1.18.0, https://bioconductor.org/packages/MSstatsLiP.

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

Documentation

Download

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

Source packageMSstatsLiP_1.18.0.tar.gz
Windows binary (x86_64)MSstatsLiP_1.18.0.zip
macOS binary (arm64)MSstatsLiP_1.18.0.tgz
macOS binary (x86_64)MSstatsLiP_1.18.0.tgz
Dependencies

Depends: R (>= 4.1)

Imports: dplyr, gridExtra, stringr, ggplot2, grDevices, MSstats, MSstatsConvert, data.table, Biostrings, MSstatsPTM (>= 2.12.0), Rcpp, checkmate, factoextra, ggpubr, purrr, tibble, tidyr, tidyverse, scales, stats, plotly, htmltools

LinkingTo: Rcpp

Suggests: BiocStyle, knitr, rmarkdown, covr, tinytest, gghighlight