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Using 'collective omics data' for biomedical research training.

Damien Chaussabel1, Darawan Rinchai1

  • 1Sidra Medicine, Doha, Qatar.

Immunology
|April 30, 2018
PubMed
Summary
This summary is machine-generated.

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Publicly available molecular profiling data offers valuable resources for immunologists and can be used to train bioinformatics and traditional scientific skills. This review details a training initiative utilizing this

Area of Science:

  • Immunology
  • Bioinformatics
  • Genomics

Background:

  • Vast amounts of systems-scale molecular profiling data are publicly accessible in repositories like the NCBI Gene Expression Omnibus.
  • This 'collective omics data' represents an underutilized resource for scientific research and training in immunology.
  • Existing training often focuses on bioinformatics skills for analyzing large-scale data.

Purpose of the Study:

  • To explore the utility of collective omics data for training immunologists.
  • To demonstrate how collective omics data can support both bioinformatics and traditional reductionist scientific approaches.
  • To review a specific training initiative that leveraged these data resources.

Main Methods:

  • Review of a small-scale training initiative.
Keywords:
bioinformaticsgenomicstranscriptomics

Related Experiment Videos

  • Involvement of investigators, primarily immunologists.
  • Utilization of publicly available 'collective omics data' for training activities.

    • Main Results:

    • Collective omics data can be effectively used for training purposes.
    • The initiative successfully engaged immunologists in data analysis and interpretation.
    • Training can foster skills applicable to both large-scale data analysis and reductionist methodologies.

    Conclusions:

    • Publicly available omics data is a valuable and versatile resource for the immunology research community.
    • Such data can be instrumental in developing diverse scientific skills, from bioinformatics to traditional approaches.
    • Further initiatives should explore the potential of collective omics data in scientific education and research.