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

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...
Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes02:16

Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes

The present-day mitochondrial and chloroplast genomes have retained some of the characteristics of their ancestral prokaryotes and also have acquired new attributes during their evolution within eukaryotic cells. Like prokaryotic genomes, mitochondrial and chloroplast genomes neither bind with histone-like proteins nor show complex packaging into chromosome-like structures, as observed in eukaryotes. Unlike mitotic cell divisions observed in eukaryotic cells, mitochondria and chloroplasts...
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

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.
Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...

You might also read

Related Articles

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

Sort by
Same author

Establishing a high sensitivity detection method for SARS-CoV-2 IgM/IgG and developing a clinical application of this method.

Emerging microbes & infections·2020
Same author

Reactivity of aromatic contaminants towards nitrate radical in tropospheric gas and aqueous phase.

Journal of hazardous materials·2020
Same author

Dysregulated adaptive immune response contributes to severe COVID-19.

Cell research·2020
Same author

Theoretical investigation on the contribution of HO, SO<sub>4</sub><sup>-</sup> and CO<sub>3</sub><sup>-</sup> radicals to the degradation of phenacetin in water: Mechanisms, kinetics, and toxicity evaluation.

Ecotoxicology and environmental safety·2020
Same author

Identification of Sulfenylated Cysteines in <i>Arabidopsis thaliana</i> Proteins Using a Disulfide-Linked Peptide Reporter.

Frontiers in plant science·2020
Same author

A feasibility study of individual 3D-printed navigation template for the deep external fixator pin position on the iliac crest.

BMC musculoskeletal disorders·2020
Same journal

MCFST: Spatial domain identification method based on multi-view graph convolutional network and graph fusion network.

Bioinformatics (Oxford, England)·2026
Same journal

SpaBiT: Enhancing Spatial Transcriptomics Resolution via Bidirectional Attention Transformers.

Bioinformatics (Oxford, England)·2026
Same journal

EDEL: Enhancing Dense Retrievers for Curation of Biomedical Knowledge Bases.

Bioinformatics (Oxford, England)·2026
Same journal

Informative Relational Learning for Adverse Reaction Prediction with Enhanced Generalization to Novel Drugs.

Bioinformatics (Oxford, England)·2026
Same journal

An interpretable deep learning framework uncovers features governing CRISPR-Cas9 genome-editing efficiency.

Bioinformatics (Oxford, England)·2026
Same journal

3DICE: Interpretable 3D Cross-Modal Learning for Drug-Target Interaction Prediction and Large-Scale Drug Discovery.

Bioinformatics (Oxford, England)·2026
See all related articles

Related Experiment Video

Updated: May 7, 2026

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

BlastGraph: a comparative genomics tool based on BLAST and graph algorithms.

Yanbo Ye1, Bo Wei, Lei Wen

  • 1Key Laboratory of Agricultural and Environmental Microbiology, Wuhan Institute of Virology, Wuhan, Hubei, China, 430071, Graduate School of Chinese Academy of Sciences, Beijing, China and Exiqon A/S, Vedbaek, Denmark.

Bioinformatics (Oxford, England)
|September 27, 2013
PubMed
Summary
This summary is machine-generated.

BlastGraph is a Java program enabling comparative genome analysis through interactive visualization of clustered sequence similarities. It aids in understanding gene conservation and evolutionary relationships across multiple genomes.

More Related Videos

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

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens
09:14

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Published on: June 28, 2018

Related Experiment Videos

Last Updated: May 7, 2026

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

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

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens
09:14

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Published on: June 28, 2018

Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • Comparative genome analysis is crucial for understanding evolutionary relationships and gene functions.
  • Existing tools may lack integrated visualization and clustering for large-scale genomic datasets.

Purpose of the Study:

  • To introduce BlastGraph, an interactive Java program for comparative genome analysis.
  • To provide a tool for visualizing and analyzing sequence similarity clusters across multiple genomes.

Main Methods:

  • Utilizes Basic Local Alignment Search Tool (BLAST) for all-to-all sequence comparisons.
  • Employs graph clustering and data visualization techniques to represent genomic relationships.
  • Incorporates pruning algorithms to refine analysis results into meaningful subclusters.

Main Results:

  • Generates interactive graph plots displaying sequence clusters, features, gene conservation, and similarity.
  • Facilitates identification of gene content, phylogenetic relationships, and gene gain/loss events.
  • Offers a user-friendly interface for exploring complex genomic data.

Conclusions:

  • BlastGraph provides an effective platform for in-depth comparative genome analysis.
  • The tool aids researchers in uncovering evolutionary insights and functional genomics information.
  • Its integrated approach simplifies the interpretation of large-scale genomic datasets.