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MXP: Modular eXpandable framework for building bioinformatics Pipelines.

Mikhail Kovtun1, Konstantin Arbeev1, Anatoliy Yashin1

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|November 3, 2023
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Summary

We developed MXP, a flexible framework for building bioinformatics pipelines. MXP streamlines complex data analysis, proving useful for Genome-Wide Association Studies (GWAS) and post-GWAS analysis.

Keywords:
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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Bioinformatics data processing often requires complex workflows involving multiple software tools.
  • Existing pipeline-building tools facilitate handling increasing volumes of biological data.
  • Coherent execution of software tools is essential for meaningful biological data analysis.

Purpose of the Study:

  • Introduce MXP, a novel, flexible, and expandable framework for constructing bioinformatics pipelines.
  • Demonstrate the utility and adaptability of MXP in practical bioinformatics applications.
  • Highlight MXP's features designed for enhanced convenience and suitability in pipeline development.

Main Methods:

  • Development of the MXP framework.
  • Testing MXP on diverse bioinformatics tasks within an organizational setting.
  • Application of MXP for building pipelines for Genome-Wide Association Studies (GWAS) and post-GWAS analysis.

Main Results:

  • MXP was successfully developed and tested on various bioinformatics tasks.
  • The framework proved to be sufficiently flexible and useful in practical applications.
  • MXP was particularly effective for building pipelines for GWAS and post-GWAS analysis.

Conclusions:

  • MXP offers a flexible and expandable solution for building bioinformatics pipelines.
  • The framework's novel features enhance its suitability and convenience for users.
  • MXP is a valuable tool for streamlining complex biological data analysis, especially in genomics research.