Analysis 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
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-27
Show 10 earlier changesHide 10 earlier changes
- ERROR12 OK, 1 ERROR2026-06-21
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK13 OK2026-05-12
- NOTE12 OK, 1 NOTE2026-05-10
- ERROR12 OK, 1 ERROR2026-05-03
- OK12 OK2026-04-25
- NOTE13 OK, 1 NOTE2026-03-30
- ERROR12 OK, 1 NOTE, 1 ERROR2026-03-28
- NOTE13 OK, 1 NOTE2026-03-10
Documentation
- Help pages
- 53 (1 internal)
- Examples that run
- 94%44 run in a plain check · 3 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 90%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 8%
Downloads
Repository
Stars over time
6 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/sssydysss/transprorbook on 2026-10-11.
GitHub Pages site last deployed 2024-07-20 · The repository has a site deploy workflow
Dependencies
Installing TransProR adds 127 packages (61 with compiled code, 123 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB. 6 more not on CRAN are not measured.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 1.0.7Latest2025-09-12 · current release · diff ↗ ·
removed 3 exports
add_new_tile_layer, circos_fruits, highlight_by_node - 1.0.62025-08-26 · diff ↗
- 1.0.5
- 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
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("TransProR")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.