Evidence map›Paper›PMID 32998764›Full record

ArticleGenome biology2020

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

Abbas Roayaei Ardakany, Halil Tuvan Gezer, Stefano Lonardi, Ferhat Ay

Open access · goldAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Genome biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 187 papers.

0numbers the graph read from it
0cells of the map it votes in
187citing papers in PubMed
7.8field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

187 citing papers in PubMed, 248 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. CAD-C: An engineered nuclease enables repair-freebioRxiv : the preprint server for biology · 2026
    Article
  16. Article
  17. Genome-wide absolute quantification of chromatin looping.Nature structural & molecular biology · 2026
    Article
  18. Article
  19. Article
  20. Article

127 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Abbas Roayaei ArdakanyCenters for Autoimmunity and Cancer Immunotherapy, La Jolla Institute for Immunology, La Jolla, 92037, CA, USA.
Halil Tuvan GezerCenters for Autoimmunity and Cancer Immunotherapy, La Jolla Institute for Immunology, La Jolla, 92037, CA, USA.
Stefano LonardiComputer Science and Engineering, University of California, Riverside, Riverside, 92521, CA, USA. stelo@cs.ucr.edu.
Ferhat AyCenters for Autoimmunity and Cancer Immunotherapy, La Jolla Institute for Immunology, La Jolla, 92037, CA, USA. ferhatay@lji.org.ORCID 0000-0002-0708-6914
La Jolla Institute for Immunology · USUniversity of California, Riverside · US

Funding

Studying the function of human genetic variation in the light of 3D genome organizationR35GM128938 · NIGMS · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI Ferhat Ay · 2018 to 2026
$4.6M
NIGMS NIH HHS R35 GM128938
6 · The paper itself

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 .

Indexed as

Artificial IntelligenceChromatinSoftwareGenomicsNucleic Acid ConformationChromatinChIA-PETChromatin loopsCohesinContact mapsCTCFGenome architectureHi-CHiChIPMicro-CPromoter-enhancer interactions

Identifiers

PMID32998764
PMCPMC7528378
OpenAlexW3091034669

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.