TransProR
1.0.7Analysis and Visualization of Multi-Omics Data
Overview
A tool for comprehensive transcriptomic data analysis, with a focus on transcript-level data preprocessing, expression profiling, differential expression analysis, and functional enrichment. It enables researchers to identify key biological processes, disease biomarkers, and gene regulatory mechanisms. 'TransProR' is aimed at researchers and bioinformaticians working with RNA-Seq data, providing an intuitive framework for in-depth analysis and visualization of transcriptomic datasets. The package includes comprehensive documentation and usage examples to guide users through the entire analysis pipeline. The differential expression analysis methods incorporated in the package include 'limma' (Ritchie et al., 2015, doi:10.1093/nar/gkv007; Smyth, 2005, doi:10.1007/0-387-29362-0_23), 'edgeR' (Robinson et al., 2010, doi:10.1093/bioinformatics/btp616), 'DESeq2' (Love et al., 2014, doi:10.1186/s13059-014-0550-8), and Wilcoxon tests (Li et al., 2022, doi:10.1186/s13059-022-02648-4), providing flexible and robust approaches to RNA-Seq data analysis. For more information, refer to the package vignettes and related publications.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-2713 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-2112 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 8 earlier snapshots
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-05-1213 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-05-1012 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-05-0312 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-03-3013 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-03-2812 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-1013 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 94%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 8%
Downloads
Repository
Stars over time
Repository practices
4 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/sssydysss/transprorbook on 2026-08-16.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
6 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.0.7Latest
- 1.0.62025-08-26 · diff ↗
- 1.0.52025-06-16 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 1.0.32025-02-18 · diff ↗
- 1.0.22025-02-15 · diff ↗
- unarchivedReturned to CRAN2025-02-14
- archivedRemoved from CRAN2025-02-02issues were not corrected in time
- 0.0.62024-12-10
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-12-10
- Total releases
- 6 / 2 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.3.0
- Bundled data
- 163 KB / 2 files
- Download size
- 1.0 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("TransProR")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.