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Related Concept Videos

The Ras Gene02:38

The Ras Gene

The Ras-gene-encoded proteins are regulators of signaling pathways controlling cell proliferation, differentiation, or cell survival. The Ras-gene family in humans constitutes three primary members—the HRas, NRas, and KRas. These genes code for four functionally distinct yet closely related proteins—the HRas, NRas, KRas4A, and KRas4B. The involvement of mutant Ras genes in human cancer was first discovered in 1982 and is among the most common causes of human tumorigenesis.
Ras is a superfamily...
The Ras Gene02:38

The Ras Gene

The Ras-gene-encoded proteins are regulators of signaling pathways controlling cell proliferation, differentiation, or cell survival. The Ras-gene family in humans constitutes three primary members—the HRas, NRas, and KRas. These genes code for four functionally distinct yet closely related proteins—the HRas, NRas, KRas4A, and KRas4B. The involvement of mutant Ras genes in human cancer was first discovered in 1982 and is among the most common causes of human tumorigenesis.
Ras is a superfamily...
Hedgehog Signaling Pathway02:33

Hedgehog Signaling Pathway

The Hedgehog gene (Hh) was first discovered due to its control of the growth of disorganized, hair-like bristles phenotype in Drosophila, much like hedgehog spines. Hh plays a crucial role in the development of organs and the maintenance of homeostasis in both invertebrates and vertebrates. However, while Drosophila has only one Hh protein, mammals have multiple functional Hedgehog proteins - Sonic (Shh), Desert (Dhh), and Indian Hedgehog (Ihh). All of these homologous proteins have adapted to...
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...

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Related Experiment Video

Updated: Jun 2, 2026

A Web Tool for Generating High Quality Machine-readable Biological Pathways
08:01

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

The Rat Genome Database pathway portal.

Victoria Petri1, Mary Shimoyama, G Thomas Hayman

  • 1Human and Molecular Genetics Center, Medical College of Wisconsin, WI, 53226-3548, USA. vpetri@mcw.edu

Database : the Journal of Biological Databases and Curation
|April 12, 2011
PubMed
Summary

The Rat Genome Database (RGD) enhances pathway data accessibility and visualization. RGD offers integrated tools for exploring gene pathways and their relationships to disease phenotypes.

More Related Videos

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

Related Experiment Videos

Last Updated: Jun 2, 2026

A Web Tool for Generating High Quality Machine-readable Biological Pathways
08:01

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

Area of Science:

  • Genomics
  • Bioinformatics
  • Systems Biology

Background:

  • Biological pathways are fundamental units of cellular function.
  • Understanding pathway interactions is crucial for disease research.
  • There is a growing demand for comprehensive pathway data.

Purpose of the Study:

  • To present the Pathway Portal resources at the Rat Genome Database (RGD).
  • To describe RGD's multitiered approach to pathway data acquisition and presentation.
  • To highlight enhanced data manipulation, exploration, and visualization capabilities.

Main Methods:

  • RGD employs a multitiered strategy for pathway data management.
  • Continuous addition and expansion of resources and tools.
  • Development of enhanced data manipulation, exploration, and visualization features.

Main Results:

  • RGD provides comprehensive pathway datasets.
  • Users can identify genes within pathways and visualize pathway relationships.
  • Integrated and dynamic pathway visualization is available.

Conclusions:

  • RGD's Pathway Portal meets the demand for detailed pathway information.
  • The database facilitates understanding of pathway interactions and disease connections.
  • RGD offers robust tools for pathway data access and analysis.