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

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...
Cis-regulatory Sequences02:02

Cis-regulatory Sequences

Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
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.
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...

You might also read

Related Articles

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

Sort by
Same author

Study design with responsible return of results for a fully remote genome sequencing study in individuals with Prader-Willi syndrome.

Genetics in medicine open·2026
Same author

Network anomaly detection using Deep Autoencoder and parallel Artificial Bee Colony algorithm-trained neural network.

PeerJ. Computer science·2026
Same author

Genetic Variation in Clinical Cohorts. Reply.

The New England journal of medicine·2026
Same author

Multi-omic analysis identifies a multi-step pathology in a case of multiple chorangioma syndrome in monochorionic twins.

Orphanet journal of rare diseases·2026
Same author

Uncovering the genetic architecture of ME/CFS: a precision approach reveals impact of rare monogenic variation.

Journal of translational medicine·2025
Same author

Common Diseases in Clinical Cohorts - Not Always What They Seem.

The New England journal of medicine·2025

Related Experiment Video

Updated: Jun 28, 2026

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

The Rat Genome Database 2009: variation, ontologies and pathways.

Melinda R Dwinell1, Elizabeth A Worthey, Mary Shimoyama

  • 1Department of Physiology and Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI, USA. mrdwinel@mcw.edu

Nucleic Acids Research
|November 11, 2008
PubMed
Summary

The Rat Genome Database (RGD) offers integrated genetic, genomic, and disease data for rat research. It provides tools and resources to advance the rat as a translational model for human diseases.

More Related Videos

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
06:41

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

Published on: August 20, 2019

Development of Compendium for Esophageal Squamous Cell Carcinoma
03:36

Development of Compendium for Esophageal Squamous Cell Carcinoma

Published on: April 12, 2024

Related Experiment Videos

Last Updated: Jun 28, 2026

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

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
06:41

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

Published on: August 20, 2019

Development of Compendium for Esophageal Squamous Cell Carcinoma
03:36

Development of Compendium for Esophageal Squamous Cell Carcinoma

Published on: April 12, 2024

Area of Science:

  • Genomics
  • Bioinformatics
  • Translational Medicine

Background:

  • The Rat Genome Database (RGD) serves as a central resource for researchers studying the rat.
  • It integrates diverse data types including genetic, genomic, pathway, phenotype, and strain information.
  • The database focuses on data relevant to understanding disease.

Purpose of the Study:

  • To provide researchers with comprehensive and accessible rat data.
  • To enhance the utility of the rat as a translational model for human disease research.
  • To develop and improve tools for data access and analysis.

Main Methods:

  • Curating and integrating data from molecular to whole-organism levels.
  • Developing and maintaining data access tools such as genome viewers and pathway diagrams.
  • Creating disease-specific portals for integrated data analysis.
  • Providing user education through tutorials and documentation.

Main Results:

  • RGD offers structured, curated data on rat genetics, genomics, and phenotypes.
  • Enhanced tools facilitate efficient data access in various formats.
  • Disease Portals enable focused pathophysiological analysis.
  • User education resources promote effective utilization of RGD.

Conclusions:

  • RGD is a vital resource for leveraging rat research data.
  • The database supports the rat's role as a translational model.
  • Continuous development ensures RGD remains a valuable asset for investigators.