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

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

7.1K
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...
7.1K

You might also read

Related Articles

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

Sort by
Same author

scHILL: deciphering individual-level immune cell heterogeneity with single-cell RNA sequencing data.

Briefings in bioinformatics·2026
Same author

Influ-BERT: a domain-adaptive genomic language model for advancing influenza A virus research.

Briefings in bioinformatics·2026
Same author

TWAS atlas 2.0: an updated data resource for transcriptome-wide association studies.

Nucleic acids research·2025
Same author

TEDD: a comprehensive database for translation efficiency dynamics.

Nucleic acids research·2025
Same author

The Updated Genome Warehouse: Enhancing Data Value, Security, and Usability to Address Data Expansion.

Genomics, proteomics & bioinformatics·2025
Same author

Classification of Dog Breeds Using Convolutional Neural Network Models and Support Vector Machine.

Bioengineering (Basel, Switzerland)·2024
Same journal

Population Epigenetics: Deciphering DNA Methylation Diversity and its Implications for Health, Disease, and Evolution.

Molecular biology and evolution·2026
Same journal

Genomic signature of repeated transitions to diurnality in spiders.

Molecular biology and evolution·2026
Same journal

Phylogenomic blind spots: The limits of UCE and BUSCO loci in the presence of gene flow.

Molecular biology and evolution·2026
Same journal

seqLens: Optimizing Language Models for Genomic Predictions.

Molecular biology and evolution·2026
Same journal

The transcriptional and translational outcomes for pseudogenes in bacterial endosymbionts.

Molecular biology and evolution·2026
Same journal

800 million years of co-evolution in the green plant lineage - the case of LEUNIG and SEUSS transcriptional co-regulators.

Molecular biology and evolution·2026
See all related articles

Related Experiment Video

Updated: Feb 28, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.7K

HaploThread: a scalable desktop tool for efficient haplotype network inference and interactive visualization.

Bo Xu1,2, Lun Li1,2,3, Cuiping Li1,2,3,4

  • 1National Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China.

Molecular Biology and Evolution
|February 27, 2026
PubMed
Summary
This summary is machine-generated.

HaploThread is new open-source software that simplifies building and visualizing complex haplotype networks. This user-friendly tool aids in analyzing genetic variation and evolutionary relationships for researchers.

Keywords:
multithreadingnetwork constructionsoftwarevisualization

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

2.9K
Amplification of Near Full-length HIV-1 Proviruses for Next-Generation Sequencing
10:18

Amplification of Near Full-length HIV-1 Proviruses for Next-Generation Sequencing

Published on: October 16, 2018

12.8K

Related Experiment Videos

Last Updated: Feb 28, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.7K
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

2.9K
Amplification of Near Full-length HIV-1 Proviruses for Next-Generation Sequencing
10:18

Amplification of Near Full-length HIV-1 Proviruses for Next-Generation Sequencing

Published on: October 16, 2018

12.8K

Area of Science:

  • Population Genetics
  • Bioinformatics
  • Computational Biology

Background:

  • Haplotype network construction and visualization are crucial for understanding genetic variation and evolutionary relationships.
  • Existing tools may lack user-friendliness or efficient handling of large datasets.

Purpose of the Study:

  • Introduce HaploThread, a novel desktop software with a graphical user interface (GUI) for constructing and visualizing haplotype networks.
  • Provide an intuitive and efficient platform for analyzing genetic variation from large-scale datasets.

Main Methods:

  • Developed in C++ using the Qt library for a user-friendly GUI.
  • Integrates multiple multi-threaded haplotype construction algorithms (McAN, fastHaN, MSN, MJN, TCS) via a modular plugin architecture.
  • Supports functional extensions through plugins for enhanced analysis capabilities.

Main Results:

  • HaploThread offers an intuitive workflow for building and visualizing haplotype networks.
  • The software efficiently handles large-scale datasets.
  • Its modular design allows for easy integration of new algorithms and functionalities.

Conclusions:

  • HaploThread provides a powerful, user-friendly solution for haplotype network analysis.
  • The open-source nature and plugin architecture promote accessibility and extensibility in population genetics research.
  • Facilitates deeper insights into genetic variation and evolutionary patterns.