Mustache: multi-scale detection of chromatin loops from Hi-C and Micro-C maps using scale-space representation

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)

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: 01 Oct 2020 18:58
URI: https://research.sabanciuniv.edu/id/eprint/41137

Actions (login required)

View Item
View Item