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RABIX: AN OPEN-SOURCE WORKFLOW EXECUTOR SUPPORTING RECOMPUTABILITY AND INTEROPERABILITY OF WORKFLOW DESCRIPTIONS.

Gaurav Kaushik1, Sinisa Ivkovic, Janko Simonovic

  • 1Seven Bridges Genomics, 1 Main Street, Cambridge, MA 02140, USA*Corresponding author., gaurav@sevenbridges.com.

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Summary
This summary is machine-generated.

The Rabix Executor enhances biomedical data analysis by providing a reproducible and reusable workflow engine. It supports the Common Workflow Language for better data management and computational analysis.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Data Science

Background:

  • Biomedical data generation is increasing, necessitating robust analysis methods.
  • Reproducibility and reusability are critical for reliable large-scale data analysis.
  • Workflow specifications and execution engines offer frameworks for complex analyses.

Purpose of the Study:

  • To introduce the Rabix Executor, an open-source workflow engine.
  • To improve the reproducibility of biomedical data analysis.
  • To enhance reusability and interoperability of workflow descriptions.

Main Methods:

  • Development of the Rabix Executor, a workflow engine.
  • Implementation of the Common Workflow Language specification.
  • Leveraging executor features for error logging, file organization, and job scheduling.

Main Results:

  • The Rabix Executor facilitates reproducible scientific workflows.
  • It enables efficient computation and job scheduling for large datasets.
  • Interoperability of workflow descriptions is improved.

Conclusions:

  • The Rabix Executor is a valuable tool for reproducible biomedical research.
  • It addresses the need for reliable and reusable data analysis methods.
  • Adoption of standards like CWL and tools like Rabix Executor advances computational biology.