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Big biomedical data as the key resource for discovery science.

Arthur W Toga1, Ian Foster2, Carl Kesselman3

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Researchers are integrating diverse biomedical data, including genomics and imaging, to find disease biomarkers. New tools facilitate data management and analysis for conditions like Parkinson's and Alzheimer's.

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Alzheimer's disease (ID)BD2KParkinson's diseaseanalyticsbigbig databiomedicaldatadiscoverydiscovery scienceresourcescience, neuroscience (ja)

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Area of Science:

  • Biomedical Informatics
  • Big Data Analytics
  • Genomics and Proteomics

Background:

  • Exponential growth in biomedical data from diverse sources (genomics, proteomics, imaging, clinical).
  • Challenges in integrating and analyzing these complex, multi-modal datasets.
  • Need for advanced computational approaches to uncover biological insights.

Purpose of the Study:

  • To develop technological capabilities for managing, integrating, and modeling large-scale distributed biomedical data.
  • To apply an "-ome to home" approach for discovering linkages between disparate data types.
  • To identify biomarkers for complex diseases like Parkinson's and Alzheimer's.

Main Methods:

  • Mining existing proteomic, genomic, brain imaging, and clinical assessment databases.
  • Development of new software and computational resources for data aggregation and manipulation.
  • Integration of biological domain expertise with data science methodologies.

Main Results:

  • Facilitation of easy data management, aggregation, manipulation, integration, and modeling for researchers.
  • Establishment of computational resources and software to handle large, distributed datasets.
  • Revealing relationships and patterns within multi-omics and clinical data.

Conclusions:

  • The developed approach and tools enable effective integration of diverse biomedical data.
  • This facilitates the discovery of critical interplays among different biological domains.
  • Aids in identifying novel biomarkers for neurodegenerative diseases such as Parkinson's and Alzheimer's.