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gQTL: A Web Application for QTL Analysis Using the Collaborative Cross Mouse Genetic Reference Population.

Kranti Konganti1, Andre Ehrlich1, Ivan Rusyn2

  • 1Texas A&M Institute for Genome Sciences and Society.

G3 (Bethesda, Md.)
|June 9, 2018
PubMed
Summary
This summary is machine-generated.

We developed gQTL, a user-friendly web application for quantitative trait loci (QTL) mapping in the Collaborative Cross (CC) mouse population. This tool simplifies complex genetic analysis, making CC mouse data more accessible for researchers.

Keywords:
collaborative crossqtlsoftware

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Area of Science:

  • Genetics and Genomics
  • Bioinformatics
  • Animal Models

Background:

  • Multi-parental recombinant inbred populations, like the Collaborative Cross (CC) mouse population, are valuable for quantitative trait loci (QTL) analysis.
  • Existing R-based command-line software for analyzing these complex populations presents usability challenges for many researchers.

Purpose of the Study:

  • To develop a user-friendly, web-accessible application for QTL mapping using data from the Collaborative Cross (CC) mouse population.
  • To overcome the limitations of command-line based software for analyzing complex genetic reference populations.

Main Methods:

  • Development of gQTL, a graphical user interface (GUI) application.
  • gQTL is based on the DOQTL platform and implemented in R.
  • Web accessibility allows for broader user engagement.

Main Results:

  • gQTL provides a simplified interface for performing QTL mapping.
  • The application is specifically designed for data from the Collaborative Cross (CC) mouse genetic reference population.
  • Web accessibility enhances the utility of CC mouse resources.

Conclusions:

  • gQTL effectively addresses the need for accessible QTL analysis tools for complex genetic populations.
  • The developed application democratizes the use of powerful genetic resources like the CC mouse population.
  • gQTL facilitates broader research applications in quantitative genetics.