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

Journal: Genome biology
Published Date:

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 .

Authors

  • Abbas Roayaei Ardakany
    Centers for Autoimmunity and Cancer Immunotherapy, La Jolla Institute for Immunology, La Jolla, 92037, CA, USA.
  • Halil Tuvan Gezer
    Centers for Autoimmunity and Cancer Immunotherapy, La Jolla Institute for Immunology, La Jolla, 92037, CA, USA.
  • Stefano Lonardi
    Computer Science and Engineering, University of California, Riverside, Riverside, 92521, CA, USA. stelo@cs.ucr.edu.
  • Ferhat Ay
    Centers for Autoimmunity and Cancer Immunotherapy, La Jolla Institute for Immunology, La Jolla, 92037, CA, USA. ferhatay@lji.org.