CRUP
CRUP (Condition-specific Regulatory Units Prediction) is a software tool designed to identify regulatory units, which consist of dynamically changing enhancers and their target genes, using epigenetic data. The main features of CRUP are:
1. Novel pre-trained enhancer predictor: CRUP includes a new enhancer predictor that can be applied across various cell types and species, using only histone modification ChIP-seq data.
2. Condition-specific enhancer assignment: The software assigns enhancers to different conditions based on the epigenetic data.
3. Enhancer-gene correlation: CRUP correlates the condition-specific enhancers with gene expression data to identify regulatory units.
4. Thorough testing and application: The tool has been extensively tested and applied to a rheumatoid arthritis model, successfully identifying enhancer-gene pairs that include known disease genes and novel candidate genes.
Topic
Epigenetics;ChIP-seq;Gene regulation;Transcription factors and regulatory sites;Pathology
Detail
Operation: Pathway or network prediction;Expression correlation analysis;Transcriptional regulatory element prediction
Software interface: Command-line interface
Language: R
License: Not stated
Cost: Free of charge
Version name: 1.0
Credit: Bundesministerium für Bildung und Forschung.
Input: -
Output: -
Contact: Martin Vingron vingron@molgen.mpg.de
Collection: -
Maturity: -
Publications
- CRUP: a comprehensive framework to predict condition-specific regulatory units.
- Ramisch A, et al. CRUP: a comprehensive framework to predict condition-specific regulatory units. CRUP: a comprehensive framework to predict condition-specific regulatory units. 2019; 20:227. doi: 10.1186/s13059-019-1860-7
- https://doi.org/10.1186/S13059-019-1860-7
- PMID: 31699133
- PMC: PMC6839171
Download and documentation
Documentation: https://github.com/VerenaHeinrich/CRUP/blob/master/README.md
Home page: https://github.com/VerenaHeinrich/CRUP
Data: https://github.com/VerenaHeinrich/CRUP/tree/master/DATA
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