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...
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...
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.
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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...
Next-generation Sequencing03:00

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.

You might also read

Related Articles

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

Sort by
Same author

LacR and TrxB are key virulence factors involved in pneumococcal meningitis as identified by a genome-wide association study.

Communications biology·2026
Same author

Type 3 fimbrial regulation underpins anti-MrkA immunotherapeutic efficacy in experimental Klebsiella pneumoniae infection.

The Journal of infectious diseases·2026
Same author

Life Identification Numbers: A strain nomenclature approach to aid epidemiological surveillance of bacterial pathogens.

PLoS biology·2026
Same author

Clonal expansion of global pneumococcal sequence cluster 3 within serotype 8 after 13-valent pneumococcal conjugate vaccine introduction, South Africa.

Microbial genomics·2026
Same author

Epidemiological, immunological and virulence characteristics of persistent Streptococcus pneumoniae vaccine serotypes following vaccine introduction.

Nature communications·2026
Same author

Emergence of carbapenemase-producing Escherichia coli in acute care hospitals in 32 European countries (the CCRE survey): a prospective, multicentre, cross-sectional, epidemiological, microbiological, and genomic surveillance study.

The Lancet. Microbe·2026

Related Experiment Video

Updated: Jul 10, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

WebACT: an online genome comparison suite.

James C Abbott1, David M Aanensen, Stephen D Bentley

  • 1Centre for Bioinformatics, Imperial College London, UK.

Methods in Molecular Biology (Clifton, N.J.)
|November 13, 2007
PubMed
Summary
This summary is machine-generated.

WebACT facilitates genome comparison by aligning up to five sequences online. This tool, using Artemis Comparison Tool (ACT), aids in visualizing genomic differences and evolutionary events without software installation.

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

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

Related Experiment Videos

Last Updated: Jul 10, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

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

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

Area of Science:

  • Genomics
  • Bioinformatics
  • Evolutionary Biology

Background:

  • Comparative genomics is crucial for understanding phenotypic variation and evolutionary history.
  • Genomic evolution involves rearrangements, DNA acquisition, gene loss, and single-nucleotide polymorphisms.
  • The Artemis Comparison Tool (ACT) visualizes genomic alignment consequences.

Purpose of the Study:

  • To introduce WebACT, an online platform for comparative genomics.
  • To enable alignment and visualization of up to five genomic sequences.
  • To simplify the process of identifying genomic differences and evolutionary events.

Main Methods:

  • WebACT allows alignment of user-uploaded or database-selected sequences (EMBL, RefSeq).
  • Alignment algorithms include BLASTZ, MUMmer, and Basic Local Alignment Search Tool (BLAST).
  • Precomputed bacterial genome comparisons are available from the Genome Reviews database.

Main Results:

  • WebACT provides an accessible, web-based environment for comparative genomics.
  • Users can visualize alignments of multiple genomes without local software.
  • Rapid identification of regions of interest is possible using precomputed comparisons.

Conclusions:

  • WebACT enhances the accessibility and usability of comparative genomics.
  • The tool facilitates the study of genome evolution and phenotypic differences.
  • WebACT, coupled with ACT, offers a powerful resource for genomic research.