This is the development version of MSstatsLiP; for the stable release version, see MSstatsLiP.
LiP Significance Analysis in shotgun mass spectrometry-based proteomic experimentsBioconductor version: Development (3.22)
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], 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]
Maintainer: Anthony Wu <wu.anthon at northeastern.edu>
Citation (from within R, entercitation("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.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("MSstatsLiP")
MSstatsLiP Proteolytic Workflow HTML R Script MSstatsLiP Workflow: An example workflow and analysis of the MSstatsLiP package HTML R Script Reference Manual PDF Details biocViews DifferentialExpression, ImmunoOncology, MassSpectrometry, Normalization, OneChannel, Proteomics, QualityControl, Software, TwoChannel Version 1.15.1 In Bioconductor since BioC 3.14 (R-4.1) (3.5 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, plotly, htmltools System Requirements URL Bug Reports https://github.com/Vitek-Lab/MSstatsLiP/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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