Roayaei Ardakany, Abbas and Gezer, Halil Tuvan and Lonardi, Stefano and Ay, Ferhat (2020) Mustache: multi-scale detection of chromatin loops from Hi-C and Micro-C maps using scale-space representation. Genome Biology, 21 . ISSN 1474-760X (Print) 1465-6906 (Online)
Full text not available from this repository. (Request a copy)
Official URL: http://dx.doi.org/10.1186/s13059-020-02167-0
Abstract
We present MUSTACHE, a new method for multi-scale detection of chromatin loops from Hi-C and Micro-C contact maps. MUSTACHE employs scale-space theory, a technical advance in computer vision, to detect blob-shaped objects in contact maps. MUSTACHE is scalable to kilobase-resolution maps and reports loops that are highly consistent between replicates and between Hi-C and Micro-C datasets. Compared to other loop callers, such as HiCCUPS and SIP, MUSTACHE recovers a higher number of published ChIA-PET and HiChIP loops as well as loops linking promoters to regulatory elements. Overall, MUSTACHE enables an efficient and comprehensive analysis of chromatin loops. Available at: https://github.com/ay-lab/mustache.
Item Type: | Article |
---|---|
Divisions: | Faculty of Engineering and Natural Sciences > Academic programs > Computer Science & Eng. Faculty of Engineering and Natural Sciences |
Depositing User: | Halil Tuvan Gezer |
Date Deposited: | 01 Oct 2020 18:58 |
Last Modified: | 04 Aug 2023 12:46 |
URI: | https://research.sabanciuniv.edu/id/eprint/41137 |