CSREP
CSREP is a software tool that summarizes and compares chromatin state annotations across groups of biologically similar samples. It takes as input chromatin state maps for multiple samples and probabilistically estimates a representative chromatin state map for each group. CSREP uses an ensemble of multi-class logistic regression classifiers to predict the chromatin state assignment of each sample based on the state maps from all other samples. By comparing the probability assignments between two groups, CSREP can identify genomic locations with differential chromatin state assignments at a high resolution. The tool is useful for effectively summarizing information about chromatin state annotations within groups and identifying biologically relevant differences between groups.
Topic
Epigenetics;Mapping;Genomics
Detail
Operation: Mapping;Genome annotation;Regression analysis
Software interface: Command-line interface
Language: Python,R
License: Not stated
Cost: Free of charge
Version name: -
Credit: The US National Institutes of Health, US National Science Foundation, Rose Hills Innovator Award, and the UCLA Jonsson Comprehensive Cancer Center and Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research Ablon Scholars Program.
Input: -
Output: -
Contact: -
Collection: -
Maturity: -
Publications
- A framework for group-wise summarization and comparison of chromatin state annotations.
- Vu H, et al. A framework for group-wise summarization and comparison of chromatin state annotations. A framework for group-wise summarization and comparison of chromatin state annotations. 2023; 39:(unknown pages). doi: 10.1093/bioinformatics/btac722
- https://doi.org/10.1093/bioinformatics/btac722
- PMID: 36342196
- PMC: PMC9805555
Download and documentation
Source: http://github.com/ernstlab/csrep
Documentation: https://github.com/ernstlab/csrep/blob/master/tutorial.md
Home page: http://github.com/ernstlab/csrep
Data: --
< Back to DB search