Mango
Mango is a complete ChIA-PET data analysis pipeline that corrects for major sources of bias including differential peak enrichment and genomic proximity, and provides statistical confidence estimates for interactions. It performs all the required steps for processing ChIA-PET datasets and exhibits much better agreement with high-resolution Hi-C data compared to other existing software packages. Mango has been applied to multiple available ChIA-PET datasets and has independently rediscovered known trends in chromatin loops.
Topic
Data architecture, analysis and design;Statistics and probability;Structural genomics
Detail
Operation: Statistical calculation;Analysis
Software interface: Command-line user interface
Language: R;C++
License: GNU General Public License, version 2
Cost: Free
Version name: -
Credit: National Institutes of Health (NIH), the Damon Runyon Cancer Research Foundation.
Input: -
Output: All significant interactions, tested interactions
Contact: dphansti@email.unc.edu
Collection: -
Maturity: -
Publications
- Mango: a bias-correcting ChIA-PET analysis pipeline.
- Phanstiel DH, et al. Mango: a bias-correcting ChIA-PET analysis pipeline. Mango: a bias-correcting ChIA-PET analysis pipeline. 2015; 31:3092-8. doi: 10.1093/bioinformatics/btv336
- https://doi.org/10.1093/bioinformatics/btv336
- PMID: 26034063
- PMC: PMC4592333
Download and documentation
Documentation: https://github.com/dphansti/mango#readme
Home page: https://github.com/dphansti/mango
< Back to DB search