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Perspectives of using Cloud computing in integrative analysis of multi-omics data.

Dariusz R Augustyn1, Łukasz Wyciślik1, Dariusz Mrozek1

  • 1Silesian University of Technology, Department of Applied Informatics, Gliwice 44-100, Poland.

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Integrative multi-omics data analysis is computationally intensive. This study explores cloud computing and containerization to create scalable, reusable pipelines for better genotype-phenotype understanding.

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Area of Science:

  • Bioinformatics and Computational Biology
  • Genomics and Systems Biology

Background:

  • Multi-omics data integration is crucial for understanding biological processes but is computationally demanding.
  • Existing solutions often lack scalability and reusability, hindering advances in areas like genotype-phenotype relationship studies.
  • Current general-purpose platforms struggle with native scaling of complex, multi-step omics analysis pipelines.

Purpose of the Study:

  • To investigate the potential of cloud computing and containerization for scalable and reusable multi-omics data analysis pipelines.
  • To address the limitations of current omics data analysis solutions regarding computational demands and platform specificity.
  • To propose a universal solution model for integrative multi-omics analysis.

Main Methods:

  • Review of cloud computing models in multi-omics data analysis, identifying weaknesses.
  • Introduction to containerization concepts for scaling and linking functional services.
  • Development and verification of a concept model using the Bioconductor software package.

Main Results:

  • Identified limitations in current cloud-based multi-omics analysis solutions.
  • Demonstrated how containerization enables scalable and modular omics data analysis pipelines.
  • Validated a universal solution concept for integrative multi-omics analysis.

Conclusions:

  • Cloud computing and containerization offer a promising approach to overcome computational challenges in multi-omics data integration.
  • The proposed containerization strategy facilitates the creation of reusable and scalable analysis pipelines.
  • The verified concept model using Bioconductor showcases the potential for universal integrative multi-omics analysis.