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Related Experiment Videos

Integrative Functional Genomics for Systems Genetics in GeneWeaver.org.

Jason A Bubier1, Michael A Langston2, Erich J Baker3

  • 1The Jackson Laboratory, 600 Main Street, Bar Harbor, ME, 04609, USA.

Methods in Molecular Biology (Clifton, N.J.)
|December 10, 2016
PubMed
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GeneWeaver integrates diverse functional genomics data for systems genetics research. This tool aids in analyzing gene sets, prioritizing candidate genes, and generating hypotheses across species.

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Functional genomics studies generate vast, heterogeneous datasets.
  • Integrating these datasets across species is challenging for systems genetics.
  • Existing tools struggle with harmonizing diverse genetic data.

Purpose of the Study:

  • To present GeneWeaver, an online database and tool suite for integrative functional genomics analysis.
  • To facilitate the aggregation and analysis of gene set-centric data across species.
  • To support the interpretation and resolution of systems genetics studies.

Main Methods:

  • GeneWeaver aggregates curated experimental and resource-level data (GO, MP, KEGG).
  • It supports direct data entry and transfer from resources like GeneNetwork.org.
Keywords:
Data miningGeneWeaver data baseIT-tools for systems geneticsQTL candidate gene

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  • Statistical tools and graph algorithms are employed for data analysis.

    • Main Results:

    • GeneWeaver enables rapid aggregation and analysis of gene set-centric data.
    • The platform facilitates the discovery of new gene relations and prioritization of candidate genes.
    • It aids in characterizing differentially expressed genes and generating function hypotheses.

    Conclusions:

    • GeneWeaver provides a powerful solution for integrating multispecies functional genomics data.
    • The tool accelerates the interpretation of systems genetics results through rapid, integrative analysis.
    • It bridges the gap in harmonizing heterogeneous data for cross-species comparisons.