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Related Experiment Video

Updated: May 19, 2026

A Web-Based Workflow for Selecting Gene- and Tissue-Specific Enhancers
08:12

A Web-Based Workflow for Selecting Gene- and Tissue-Specific Enhancers

Published on: July 18, 2025

Provenance for distributed biomedical workflow execution.

Souley Madougou1, Mark Santcroos, Ammar Benabdelkader

  • 1Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.

Studies in Health Technology and Informatics
|September 4, 2012
PubMed
Summary
This summary is machine-generated.

This study integrates a provenance system into a biomedical research e-infrastructure using the MOTEUR workflow system. It enhances data management and usability for scientists dealing with intensive data acquisition.

Related Experiment Videos

Last Updated: May 19, 2026

A Web-Based Workflow for Selecting Gene- and Tissue-Specific Enhancers
08:12

A Web-Based Workflow for Selecting Gene- and Tissue-Specific Enhancers

Published on: July 18, 2025

Area of Science:

  • Life Sciences
  • Biomedical Research
  • Computational Science

Background:

  • Scientific research, especially in Life Sciences, faces increasing data and compute intensity due to advanced data acquisition devices.
  • Distributed computing and storage infrastructures are crucial for handling this data deluge but present usage challenges.
  • Scientific workflow management systems (SWMS) simplify infrastructure use, though not all offer built-in provenance functionality.

Purpose of the Study:

  • To improve and integrate a comprehensive provenance system into an e-infrastructure for biomedical research.
  • To address the need for robust data tracking and management in data-intensive scientific endeavors.
  • To enhance the usability and efficiency of complex computational workflows in life sciences.

Main Methods:

  • Implementation of an Open Provenance Model (OPM) using a relational database for the provenance store.
  • Integration of this provenance system into the MOTEUR workflow management system.
  • Development of a user-friendly web interface for visualizing provenance data.

Main Results:

  • A functional e-infrastructure with a comprehensive provenance system for biomedical research was established.
  • A generic approach for provenance implementation was defined, applicable to other workflow systems and domains.
  • Use cases demonstrated the system's value in presenting provenance data effectively.

Conclusions:

  • The integrated provenance system enhances the management and understanding of data in intensive biomedical research.
  • The generic approach offers a reusable framework for implementing provenance in diverse scientific workflows.
  • User-friendly visualization of provenance data improves accessibility and utility for researchers.