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Related Experiment Videos

Enhancing data sharing in collaborative research projects with DASH.

Thomas E Ferrin1, Conrad C Huang, Daniel M Greenblatt

  • 1Departments of Pharmaceutical Chemistry and Biopharmaceutical Sciences, University of California San Francisco, San Francisco, CA 94143, USA.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|March 12, 2005
PubMed
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This study introduces DASH, a software framework for seamless computational biology data sharing. It automates data processing pipelines, facilitating collaboration among research scientists.

Area of Science:

  • Computational Biology
  • Bioinformatics
  • Data Management

Background:

  • Collaborative research requires efficient data sharing and processing.
  • Managing multistep computational pipelines is complex for research teams.

Purpose of the Study:

  • To introduce the DASH software framework for computational biology data management.
  • To facilitate data access, maintenance, curation, and sharing among research scientists.

Main Methods:

  • Developed an event-based framework (DASH) for automated pipeline invocation.
  • Implemented monitoring of distributed data stores for changes.
  • Utilized Web Services for communicating analysis results.

Main Results:

Related Experiment Videos

  • Demonstrated a functional DASH prototype in a pharmacogenomics research project.
  • Enabled automated processing and sharing of complex computational biology data.
  • Facilitated collaboration among geographically distributed researchers.

    • Conclusions:

    • The DASH framework streamlines computational biology data sharing and collaboration.
    • Automated pipeline execution enhances research efficiency and data integrity.
    • DASH supports large-scale, multi-site research projects effectively.