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Related Concept Videos

Genetic Screens02:46

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 result in visible changes...

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A Web-Based Workflow for Selecting Gene- and Tissue-Specific Enhancers
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A guide to web tools to prioritize candidate genes.

Léon-Charles Tranchevent1, Francisco Bonachela Capdevila, Daniela Nitsch

  • 1Katholieke Universiteit Leuven, Belgium.

Briefings in Bioinformatics
|February 1, 2011
PubMed
Summary

This study reviews 19 computational gene prioritization web tools to aid researchers in selecting the best strategy for identifying promising genes from large datasets. A companion website offers updated information and resources.

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Area of Science:

  • Genetics
  • Bioinformatics
  • Computational Biology

Background:

  • Gene prioritization is crucial for identifying disease-associated genes within large candidate lists.
  • Computational methods have advanced significantly for tackling this genetic challenge.
  • Several computational solutions for human gene prioritization are available as web tools.

Purpose of the Study:

  • To review and compare 19 freely accessible computational gene prioritization web tools.
  • To illustrate the differences and applications of these tools in various biological problems.
  • To guide users in selecting appropriate gene prioritization strategies.

Main Methods:

  • Systematic review of 19 computational gene prioritization web tools.
  • Analysis of tool accessibility, features, and biological problem applications.
  • Development of a comprehensive website resource for gene prioritization tools.

Main Results:

  • Detailed comparison of 19 human gene prioritization web tools.
  • Summary of successful applications across diverse biological problems.
  • Identification of research directions to enhance tool quality and applicability.

Conclusions:

  • The review and website provide a valuable guide for selecting gene prioritization tools.
  • Enhanced computational tools can improve the identification of disease-associated genes.
  • Future research should focus on improving the quality and applicability of gene prioritization methods.