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qPortal: A platform for data-driven biomedical research.

Christopher Mohr1, Andreas Friedrich1,2, David Wojnar2

  • 1Applied Bioinformatics, Center for Bioinformatics Tübingen, University of Tübingen, Sand 14, 72076 Tübingen, Germany.

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|January 21, 2018
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Summary
This summary is machine-generated.

qPortal offers an integrated platform for managing and analyzing quantitative biological data, supporting the entire research project lifecycle from design to visualization. This data-driven approach contrasts with workflow-driven systems, enhancing biomedical data analysis.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Data Science

Background:

  • Modern biomedical research generates large, complex datasets from high-throughput technologies.
  • There is an increasing demand for scalable data management and accessible analysis tools.
  • Existing platforms may not fully integrate project and data management with analysis capabilities.

Purpose of the Study:

  • To present qPortal, an intuitive platform for managing and analyzing quantitative biological data.
  • To demonstrate qPortal's ability to support the entire biomedical research project lifecycle.
  • To compare the data-driven approach of qPortal with the workflow-driven approach of Galaxy.

Main Methods:

  • Development of a platform leveraging relational databases, data stores, and data models.
  • Implementation of front-end solutions for data management and analysis.
  • Simulation of a biomedical study using public data to illustrate qPortal's features.
  • Comparative analysis of qPortal and Galaxy using a case study.

Main Results:

  • qPortal provides an intuitive interface for managing and analyzing quantitative biological data.
  • The platform supports the complete project lifecycle, including design, digital project management, and analysis.
  • qPortal's data-driven approach differs from Galaxy's workflow-driven approach, offering integrated solutions.
  • Developed data models facilitate data annotation, metadata querying, and re-analysis on high-performance computing systems.

Conclusions:

  • qPortal serves as a comprehensive solution for biomedical projects, integrating data management, project management, and analysis.
  • The platform offers up-to-date analysis pipelines, quality control, and visualization tools.
  • qPortal's integrated, data-driven approach provides clear advantages over existing solutions for managing and analyzing complex biological data.