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Related Experiment Video

Updated: Jun 4, 2026

A Web Tool for Generating High Quality Machine-readable Biological Pathways
08:01

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

Conveyor: a workflow engine for bioinformatic analyses.

Burkhard Linke1, Robert Giegerich, Alexander Goesmann

  • 1Bioinformatics Resource Faciliy, Center for Biotechnology and Faculty of Technology, Bielefeld University, 33615 Bielefeld, Germany. blinke@ceBiTec.Uni-Bielefeld.De

Bioinformatics (Oxford, England)
|February 1, 2011
PubMed
Summary
This summary is machine-generated.

Conveyor is a new software library that acts as a generic workflow engine for complex data analysis. It simplifies data processing and management for scientists using high-throughput methods in bioinformatics.

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Last Updated: Jun 4, 2026

A Web Tool for Generating High Quality Machine-readable Biological Pathways
08:01

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Data Science

Background:

  • High-throughput methods generate large datasets, necessitating automated data processing pipelines.
  • Workflow systems integrate data and analytic resources to simplify complex data analysis.
  • Existing bioinformatics workflow systems differ in their execution methods.

Purpose of the Study:

  • To develop a versatile, multitiered generic workflow engine for composing, executing, and monitoring complex workflows.
  • To enable scientists to focus on data analysis rather than data and job management.

Main Methods:

  • Developed the Conveyor software library, a generic workflow engine.
  • Implemented an open, extensible system architecture.
  • Enabled concurrent program execution for multicore CPU utilization.
  • Supported complex workflow structures including branches and loops.

Main Results:

  • The Conveyor software library facilitates the composition, execution, and monitoring of complex bioinformatics workflows.
  • Its architecture supports concurrent execution, leveraging modern multicore hardware.
  • The engine allows for the creation of intricate workflows with control structures.
  • Demonstrated utility through two common bioinformatics problem use cases.

Conclusions:

  • Conveyor provides a flexible and efficient solution for managing complex computational tasks in bioinformatics.
  • The software enhances scientific productivity by automating data analysis pipelines.
  • Conveyor is available as a software library with client and server components.