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

Genome Annotation and Assembly03:36

Genome Annotation and Assembly

19.0K
The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
19.0K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.9K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.9K

You might also read

Related Articles

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

Sort by
Same author

Pangenome-based human genome analysis improves trait association and genomic prediction.

bioRxiv : the preprint server for biology·2026
Same author

Complex structural variation, phylogeny, and disease associations of the mucin pangenome.

medRxiv : the preprint server for health sciences·2026
Same author

The Vertebrate Genomes Project Phase I: A global reference genome resource.

bioRxiv : the preprint server for biology·2026
Same author

Harmonizing standards and resources for the medical genome.

Nature·2026
Same author

Population-scale Y chromosome assemblies reveal recurrent remodeling within constrained architectures.

bioRxiv : the preprint server for biology·2026
Same author

Accessing medically relevant complex regions with a pangenome graph of 20 near-complete Japanese haplotypes.

Nature communications·2026

Related Experiment Video

Updated: Jul 30, 2025

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine
10:40

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine

Published on: December 22, 2017

10.6K

Pangenome graph construction from genome alignments with Minigraph-Cactus.

Glenn Hickey1, Jean Monlong2, Jana Ebler3,4

  • 1UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA. glenn.hickey@gmail.com.

Nature Biotechnology
|May 10, 2023
PubMed
Summary

This study introduces the Minigraph-Cactus pipeline for building pangenome graphs directly from genome assemblies. This approach improves genetic variation representation and analysis accuracy, especially with high-quality references like CHM13.

More Related Videos

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.2K
Author Spotlight: A Cost-Effective Genomic Workflow for Advancing Rabies Control in Resource-Limited Settings
10:26

Author Spotlight: A Cost-Effective Genomic Workflow for Advancing Rabies Control in Resource-Limited Settings

Published on: August 18, 2023

5.3K

Related Experiment Videos

Last Updated: Jul 30, 2025

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine
10:40

Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine

Published on: December 22, 2017

10.6K
Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.2K
Author Spotlight: A Cost-Effective Genomic Workflow for Advancing Rabies Control in Resource-Limited Settings
10:26

Author Spotlight: A Cost-Effective Genomic Workflow for Advancing Rabies Control in Resource-Limited Settings

Published on: August 18, 2023

5.3K

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Reference genomes present biases due to limited haplotype representation.
  • Pangenome references, often graph-based, store diverse haplotypes to mitigate these biases.
  • Advances in long-read sequencing yield high-quality phased assemblies, enabling new pangenome construction methods.

Purpose of the Study:

  • To present the Minigraph-Cactus pipeline for constructing pangenome graphs directly from whole-genome alignments.
  • To demonstrate the scalability of the pipeline using 90 human haplotypes.
  • To evaluate the impact of reference genome quality on pangenome construction and downstream analyses.

Main Methods:

  • Developed the Minigraph-Cactus pipeline to generate pangenomes from whole-genome alignments.
  • Applied the pipeline to 90 haplotypes from the Human Pangenome Reference Consortium.
  • Integrated the CHM13 human reference genome into the pangenome construction process.
  • Constructed a pangenome for Drosophila melanogaster.

Main Results:

  • The Minigraph-Cactus pipeline successfully scaled to 90 human haplotypes.
  • Pangenome graphs built directly from assemblies capture diverse genetic variations at multiple scales.
  • Utilizing the CHM13 reference significantly improved the accuracy of the pangenome analysis.
  • Demonstrated successful pangenome construction for Drosophila melanogaster.

Conclusions:

  • Direct construction of pangenome graphs from assemblies offers a robust method for representing genetic variation.
  • The Minigraph-Cactus pipeline provides a scalable and accurate tool for pangenome construction.
  • High-quality, complete reference genomes are crucial for enhancing the accuracy of pangenome-based genomic analyses.