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GIANT: galaxy-based tool for interactive analysis of transcriptomic data.

Jimmy Vandel1, Céline Gheeraert2, Bart Staels2

  • 1Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1011-EGID, 59000, Lille, France. jimmy.vandel@inserm.fr.

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|November 17, 2020
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Summary
This summary is machine-generated.

GIANT is a new Galaxy-based tool for interactive transcriptomic data analysis. It empowers biologists with user-friendly tools for mining and interpreting microarray and RNA-seq data.

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Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • Transcriptomic analysis is crucial in biomedical research.
  • Biologists require accessible tools for data mining and interpretation.
  • Existing tools may lack user-friendliness for non-bioinformaticians.

Purpose of the Study:

  • To present GIANT, a Galaxy-based platform for interactive transcriptomic data analysis.
  • To provide biologists with direct involvement in transcriptomic data interpretation.
  • To offer a modular and adaptable toolset for various transcriptomic analyses.

Main Methods:

  • Development of GIANT, a Galaxy-based interactive tool.
  • Integration of biologist-friendly modules for transcriptomic data analysis.
  • Inclusion of specific tools for raw Affymetrix microarray data handling.
  • Support for both microarray and RNA-seq data types.

Main Results:

  • GIANT offers a suite of tools for transcriptomic data mining.
  • The platform supports modular analysis, allowing customization.
  • It facilitates the interpretation of transcriptomic data for biologists.
  • Tools for handling raw Affymetrix data are included.

Conclusions:

  • GIANT provides accessible solutions for transcriptomic data analysis.
  • The tool enhances biologists' capabilities in data interpretation.
  • GIANT supports diverse transcriptomic datasets and analysis workflows.