Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Adipose single cell epigenome and transcriptome localize genetic risk for cardiometabolic disease and accelerated aging.

Nature communications·2026
Same author

MissenseHMM: state-based annotations for missense variants through joint modeling of pathogenicity scores.

bioRxiv : the preprint server for biology·2026
Same author

Author Correction: Sensitive detection of tumor mutations from blood and its application to immunotherapy prognosis.

Nature communications·2026
Same author

An integrated view of the structure and function of the human 4D nucleome.

Nature·2025
Same author

An antagonistic epigenetic mechanism regulating gene expression in pollen revealed through single-nucleus multiomics.

Nature communications·2025
Same author

GECSI: Large-scale chromatin state imputation from gene expression.

bioRxiv : the preprint server for biology·2025
Same journal

Layered social competition coordinates reproductive hierarchy formation in ants.

bioRxiv : the preprint server for biology·2026
Same journal

Combination epigenetic-targeted therapy increases the immunogenicity of poorly immunogenic sarcomas.

bioRxiv : the preprint server for biology·2026
Same journal

Loss of LanC-like proteins delays post-injury regeneration of aging skeletal muscles.

bioRxiv : the preprint server for biology·2026
Same journal

Integrative Transfer Network: Deep Transfer Learning Across Populations and Prediction Targets.

bioRxiv : the preprint server for biology·2026
Same journal

Confidence-supported label-free metabolic imaging with FPhaS phase autofluorescence microscopy.

bioRxiv : the preprint server for biology·2026
Same journal

Sequence-encoded autoinhibition couples mRNA decapping activity to phase separation.

bioRxiv : the preprint server for biology·2026
See all related articles

Related Experiment Video

Updated: Jan 10, 2026

Capturing Chromosome Conformation Across Length Scales
10:15

Capturing Chromosome Conformation Across Length Scales

Published on: January 20, 2023

4.0K

map3C: a computational tool for processing multiomic single-cell Hi-C data.

Joseph Galasso1,2,3, Ye Wang1,4,5,6, Frank Alber4,6

  • 1Bioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles CA 90095, USA.

Biorxiv : the Preprint Server for Biology
|November 25, 2025
PubMed
Summary
This summary is machine-generated.

New software, map3C, enhances multiomic single-cell Hi-C data analysis. This tool improves data quality and aids in identifying genomic structural variant locations.

More Related Videos

Deciphering High-Resolution 3D Chromatin Organization via Capture Hi-C
09:32

Deciphering High-Resolution 3D Chromatin Organization via Capture Hi-C

Published on: October 14, 2022

4.3K
Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.
22:27

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

411.4K

Related Experiment Videos

Last Updated: Jan 10, 2026

Capturing Chromosome Conformation Across Length Scales
10:15

Capturing Chromosome Conformation Across Length Scales

Published on: January 20, 2023

4.0K
Deciphering High-Resolution 3D Chromatin Organization via Capture Hi-C
09:32

Deciphering High-Resolution 3D Chromatin Organization via Capture Hi-C

Published on: October 14, 2022

4.3K
Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.
22:27

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

411.4K

Area of Science:

  • Genomics
  • Epigenetics
  • Bioinformatics

Background:

  • Multiomic single-cell Hi-C methods offer novel insights into genome structure-function relationships by profiling chromatin conformation alongside other molecular data.
  • Current bioinformatics tools face limitations in processing these complex multiomic datasets, hindering downstream analysis.

Purpose of the Study:

  • To introduce map3C, a novel software tool designed to overcome existing limitations in multiomic single-cell Hi-C data analysis.
  • To demonstrate the effectiveness of map3C in improving data quality and enabling the identification of structural variants.

Main Methods:

  • Development of map3C software for processing multiomic single-cell Hi-C data.
  • Evaluation of map3C's performance in enhancing data quality for downstream bioinformatics analyses.
  • Application of map3C to identify genomic structural variant locations.

Main Results:

  • map3C significantly improves the quality of multiomic single-cell Hi-C data.
  • The software facilitates more robust downstream bioinformatics analysis.
  • map3C demonstrates utility in pinpointing locations of structural variants within the genome.

Conclusions:

  • map3C addresses critical limitations in current multiomic single-cell Hi-C data processing.
  • The tool enhances the analytical capabilities for studying genome structure and function.
  • map3C is a valuable resource for researchers investigating genomic structural variations.