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

Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

15.3K
A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
15.3K
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

18.9K
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.
18.9K
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
Genomics02:02

Genomics

36.6K
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...
36.6K
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

13.7K
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...
13.7K

You might also read

Related Articles

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

Sort by
Same author

Reprogramming CAR with cytokine signaling increases the efficacy of CAR-T cell therapy in solid tumour treatment and confers sustained immune memory.

Cancer immunology research·2026
Same author

Deep learning predicts potential reassortments of avian H5N1 with human influenza viruses.

National science review·2025
Same author

Dominant substitutions underlying the antigenic evolution of H5 influenza virus.

Nature communications·2025
Same author

A Self-Adapting Polygenic Risk Score Model Improves Risk Prediction of Venous Thromboembolism in Han Chinese Cohorts.

Phenomics (Cham, Switzerland)·2025
Same author

Single-cell analysis reveals that GFAP<sup>+</sup> dedifferentiated Schwann cells promote tumor progress in PNI-positive distal cholangiocarcinoma via lactate/HMGB1 axis.

Cell death & disease·2025
Same author

Deep learning in the discovery of antiviral peptides and peptidomimetics: databases and prediction tools.

Molecular diversity·2025

Related Experiment Video

Updated: Jul 29, 2025

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

11.1K

Web Resources for SARS-CoV-2 Genomic Database, Annotation, Analysis and Variant Tracking.

Yexiao Cheng1,2,3, Chengyang Ji2,3, Hang-Yu Zhou2,3

  • 1School of Life Science and Technology, China Pharmaceutical University, Nanjing 211100, China.

Viruses
|May 27, 2023
PubMed
Summary

Web resources aid SARS-CoV-2 genomic epidemiology by managing data, analyzing sequences, and tracking variants. Continued development is crucial for understanding virus evolution and spread.

Keywords:
SARS-CoV-2annotationdatabasegenomic analysisvariant trackingweb resource

More Related Videos

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
09:37

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

9.8K
Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
09:34

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Published on: April 4, 2018

33.9K

Related Experiment Videos

Last Updated: Jul 29, 2025

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

11.1K
Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
09:37

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

9.8K
Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
09:34

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Published on: April 4, 2018

33.9K

Area of Science:

  • Genomics
  • Epidemiology
  • Bioinformatics

Background:

  • The SARS-CoV-2 pandemic has generated a vast amount of genomic data.
  • Understanding virus transmission and evolution relies heavily on genomic analysis.
  • Numerous web resources have emerged to support SARS-CoV-2 genomic research.

Purpose of the Study:

  • To review existing web resources for SARS-CoV-2 genomic epidemiology.
  • To cover data management, sharing, annotation, analysis, and variant tracking.
  • To discuss challenges and future expectations for these resources.

Main Methods:

  • Literature review of web resources for SARS-CoV-2 genomic epidemiology.
  • Categorization of resources based on function (data management, analysis, visualization).
  • Discussion of current capabilities and limitations.

Main Results:

  • A comprehensive summary of web resources for SARS-CoV-2 genomic epidemiology.
  • Identification of key areas: data management, genomic annotation, analysis, and variant tracking.
  • Discussion of challenges including data standardization and accessibility.

Conclusions:

  • Web resources are vital tools for SARS-CoV-2 genomic epidemiology.
  • Continued development and improvement are necessary for effective virus tracking and evolution studies.
  • Enhanced collaboration and data sharing are essential for future progress.