RAD
RAD identifies differentially expressed genes (DEGs) associated with proximal and distal genomic regions to link genomic regions of interest (gROI) to gene expression changes.
Key Features:
- Comprehensive Analysis: Maps up- and down-regulated genes to specified genomic regions of interest (gROI) across proximal and distal distances.
- Regulatory Function Inference: Analyzes distances between gROIs and DEGs to infer potential regulatory relationships of genomic regions.
- Visualization and Statistical Tools: Generates visualizations and applies statistical inference to assess the significance of gROI–DEG associations.
Scientific Applications:
- Chromatin accessibility: Associates chromatin accessibility regions with nearby and distal differential gene expression.
- Transcription factor binding sites: Links transcription factor binding sites to changes in gene expression via distance-based association.
- Epigenetic modifications: Investigates relationships between epigenetic modifications and differential gene expression across distances.
- Gene regulation studies: Supports analysis of gene regulation mechanisms and their implications in biological processes and disease contexts.
Methodology:
Maps DEGs to gROIs, analyzes distances between gROIs and DEGs to assign proximal and distal associations, performs statistical inference to assess association significance, and generates visualizations.
Topics
Details
- Tool Type:
- web application
- Programming Languages:
- Python
- Added:
- 3/19/2021
- Last Updated:
- 3/31/2021
Operations
Publications
Guo Y, Xue Z, Yuan R, Li JJ, Pastor WA, Liu W. RAD: a web application to identify region associated differentially expressed genes. Bioinformatics. 2021;37(17):2741-2743. doi:10.1093/bioinformatics/btab075. PMID:33532827.
PMID: 33532827
Funding: - Zhejiang Provincial Natural Science Foundation of China: LQ20C060004
- Fundamental Research Funds for the Central Universities: K20200099
- Canadian Institutes of Health Research: PJT-166169