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Genomics02:02

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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A multi-omics data analysis workflow packaged as a FAIR Digital Object.

Anna Niehues1,2, Casper de Visser1, Fiona A Hagenbeek3,4

  • 1Department of Medical BioSciences, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands.

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Summary
This summary is machine-generated.

Researchers developed a FAIR (Findable, Accessible, Interoperable, and Reusable) multi-omics data analysis workflow. This computational workflow, shared as a FAIR Digital Object, aids research reproducibility and data reuse.

Keywords:
FAIRFDORO-Cratemetadatamulti-omicsworkflow

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Area of Science:

  • Computational Biology
  • Bioinformatics
  • Data Science

Background:

  • Implementing FAIR (Findable, Accessible, Interoperable, Reusable) data principles enhances knowledge discovery, reproducibility, and data reuse.
  • FAIR principles for research software promote the discoverability and reusability of computational workflows.
  • FAIR Digital Objects facilitate the integration of research objects, including computational workflows.

Purpose of the Study:

  • To develop and share a multi-omics data analysis workflow adhering to FAIR principles.
  • To demonstrate practical application of FAIR principles for computational workflows.
  • To create a FAIR Digital Object for a multi-omics analysis workflow.

Main Methods:

  • A multi-omics data analysis workflow was developed using Nextflow, incorporating containerization for software dependencies.
  • Software development best practices, including version control, documentation, and licensing, were applied.
  • The workflow was described with semantic metadata, packaged as a Research Object Crate, and published on WorkflowHub.

Main Results:

  • A FAIR Digital Object representing a multi-omics data analysis workflow was successfully created and shared.
  • The workflow was designed to investigate shared patterns between multi-omics data and childhood externalizing behavior.
  • The implementation demonstrated adherence to FAIR principles for research software.

Conclusions:

  • Sharing experiences in adopting FAIR practices for computational workflows can guide other researchers.
  • The developed FAIR Digital Object serves as a practical example for implementing FAIR principles in omics data analysis.
  • This work promotes the adoption of FAIR practices to enhance research reproducibility and data sharing in bioinformatics.