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shinyGISPA: A web application for characterizing phenotype by gene sets using multiple omics data combinations.

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|February 8, 2018
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Summary
This summary is machine-generated.

shinyGISPA is a new open-source tool that defines gene sets by merging multi-omics data. This user-friendly application helps researchers identify genes driving disease phenotypes for better disease characterization and clinical applications.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Integrating multi-omics data is crucial for understanding complex diseases.
  • Existing tools lack a unified approach for defining gene sets from merged omics datasets.
  • The Gene Integrated Set Profile Analysis (GISPA) method offers a way to identify relevant gene sets but requires programming expertise.

Purpose of the Study:

  • To present shinyGISPA, an open-source, web-based application simplifying gene set definition from multi-omics data.
  • To enhance the accessibility of the GISPA method for researchers without extensive programming skills.
  • To enable the identification of gene sets associated with disease phenotypes.

Main Methods:

  • Development of shinyGISPA, a user-friendly, web-based application.
  • Implementation of an automated workflow for merging multi-omics data.
  • Facilitation of gene set definition based on molecular similarity and disease phenotype drivers.

Main Results:

  • shinyGISPA provides a scalable and adaptable platform for multi-omics data integration.
  • The tool enables researchers to define gene sets relevant to disease characterization and clinical applications.
  • The application offers a simplified approach to utilizing the GISPA method.

Conclusions:

  • shinyGISPA democratizes the analysis of multi-omics data for gene set identification.
  • The tool supports research into disease mechanisms, clinical applications, and functional relevance.
  • shinyGISPA is a valuable resource for the research community, available at http://shinygispa.winship.emory.edu/shinyGISPA/.