Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Gene Families

Gene Families

Gene Families

Gene Families

Gene families consist of groups of genes proposed to have originated from a common ancestor. Typically these arise through events in which a gene or genes are mistakenly duplicated during cell division. Unlike their parent genes (which are subject to selection pressure to maintain function), these gene copies do not need to preserve their sequences and may evolve at a relatively faster rate.
Occasionally these regions can be adapted to take on new roles within the organism, becoming novel genes...

Genome Annotation and Assembly

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-GWAS

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...

Genomics

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...

Genetic Screens

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...

You might also read

Related Articles

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

Sort by

Same author

Fine tuning a logical model of cancer cells to predict drug synergies: combining manual curation and automated parameterization.

Frontiers in systems biology·2025

Same author

Integration of chromosome locations and functional aspects of enhancers and topologically associating domains in knowledge graphs enables versatile queries about gene regulation.

Nucleic acids research·2024

Same author

Drug-target identification in COVID-19 disease mechanisms using computational systems biology approaches.

Frontiers in immunology·2024

Same author

Dynamic Boolean modeling of molecular and cellular interactions in psoriasis predicts drug target candidates.

iScience·2024

Same author

Single-cell resolution of longitudinal blood transcriptome profiles in rheumatoid arthritis, systemic lupus erythematosus and healthy control pregnancies.

Annals of the rheumatic diseases·2023

Same author

RPA guides UNG to uracil in ssDNA to facilitate antibody class switching and repair of mutagenic uracil at the replication fork.

Nucleic acids research·2023

Search research articles

Related Experiment Video

Updated: Mar 8, 2026

Development of Compendium for Esophageal Squamous Cell Carcinoma

Development of Compendium for Esophageal Squamous Cell Carcinoma

Published on: April 12, 2024

Genes2GO: A web application for querying gene sets for specific GO terms.

Konika Chawla¹, Martin Kuiper¹

¹Department of Biology, Norwegian University of Science and Technology (NTNU), Hogskoleringen 5, 7491 Trondheim, Norway.

|February 3, 2017

Summary

This summary is machine-generated.

Genes2GO simplifies gene ontology annotation retrieval for researchers. This R-based web application provides user-friendly access to gene sets and gene ontology terms, aiding biological interpretations.

Keywords:

GO terms Gene sets Web server

More Related Videos

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

Published on: August 16, 2017

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance

Published on: December 13, 2024

Related Experiment Videos

Last Updated: Mar 8, 2026

Development of Compendium for Esophageal Squamous Cell Carcinoma

Development of Compendium for Esophageal Squamous Cell Carcinoma

Published on: April 12, 2024

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research

Published on: August 16, 2017

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance

Published on: December 13, 2024

Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

Gene ontology (GO) annotations are crucial for interpreting experimental results.
Acquiring GO annotations can be challenging, requiring significant computational or bioinformatics expertise.
Existing tools may lack user-friendly interfaces for accessing this data.

Purpose of the Study:

To develop an intuitive and accessible tool for retrieving gene ontology annotations.
To streamline the process of linking gene sets with specific GO terms.
To provide a user-friendly alternative to complex bioinformatics workflows.

Main Methods:

Developed Genes2GO, an R-based web application.
Utilized the biomaRt package from Bioconductor for data retrieval.
Integrated with the Ensembl database to access annotations for various organisms.

Main Results:

Genes2GO generates a binary matrix indicating gene-to-GO term presence or absence.
The application offers a more intuitive and accessible method for obtaining GO annotations compared to other tools.
Facilitates custom sets of GO annotations for any gene list.

Conclusions:

Genes2GO enhances biological interpretation by simplifying access to gene ontology data.
The tool lowers the barrier for researchers lacking advanced bioinformatics skills.
Provides a valuable, user-friendly resource for genomic data analysis.