TraianProt
TraianProt: a user-friendly R package for wide format proteomics data downstream analysis
Bioconductor version: 3.24 · Package version: 0.99.17
A proteomics data analysis platform that enables the analysis of both label-free and labeled data from Data-Dependent or Data-Independent Acquisition mass spectrometry mode, supporting MaxQuant, MSFragger, DIA-NN, ProteoScape, and Proteome Discoverer output formats. TraianProt provides a comprehensive suite of stepwise downstream analysis modules, which includes data filtering, normalization procedures, and missing value imputation strategies. The platform also incorporates robust statistical frameworks for differential expression testing, with peptide-spectrum match level correction, thereby enhancing the reliability of biological interpretations.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("TraianProt") Details
| Maintainer | Samuel de la Camara Fuentes <sdelacam@ucm.es> |
| Author | Samuel de la Camara Fuentes [aut, cre] (ORCID: <https://orcid.org/0000-0001-6718-5896>) |
| License | GPL (>= 3) |
| URL | https://github.com/SamueldelaCamaraFuentes/TraianProt |
| Bug Reports | https://github.com/SamueldelaCamaraFuentes/TraianProt/issues |
| Downloads rank | 41 |
| Source branch | devel |
| biocViews | DataImport, DifferentialExpression, GO, MassSpectrometry, Normalization, Proteomics, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | TraianProt_0.99.17.tar.gz |
| Windows binary (x86_64) | TraianProt_0.99.17.zip |
| macOS binary (arm64) | TraianProt_0.99.17.tgz |
| macOS binary (x86_64) | TraianProt_0.99.17.tgz |
Dependencies
Imports: dplyr, ggplot2, ggrepel, ggExtra, VennDiagram, pheatmap, VIM, grid, wrProteo, wrMisc, gplots, gprofiler2, writexl, readxl, data.table, igraph, stringr, limma, methods, grDevices, graphics, stats, matrixStats, tidyr, tibble, DEqMS, plotly, DOSE, enrichplot, STRINGdb, Rtsne, shiny, shinyWidgets, shinydashboard, DT, rmarkdown, clusterProfiler, SummarizedExperiment