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Distributed Collaboration for Data, Analysis Pipelines, and Results in Single-Cell Omics.

Alexandre Hutton1,2,3, Lizhuo Ai2,3,4, Jesse G Meyer1,2,3

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Summary

Designing single-cell omics analysis pipelines is complex. A new web platform offers no-code pipeline design, cloud computing, and data sharing to improve accessibility and reproducibility.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Single-cell omics data analysis pipelines are complex to design.
  • Sharing and reproducing these pipelines is challenging.
  • Lack of accessible tools hinders research progress.

Purpose of the Study:

  • To introduce a web platform for no-code single-cell omics analysis pipeline design.
  • To facilitate simple computing and sharing of pipelines, data, and results.
  • To enhance the accessibility and reproducibility of single-cell omics research.

Main Methods:

  • Development of a web-based platform for intuitive pipeline construction.
  • Integration with the Open Science Grid for scalable computing.
  • Features for sharing entire analysis pipelines, input data, and interactive results.

Main Results:

  • The platform enables users to design complex analysis pipelines without coding.
  • Facilitates seamless execution of pipelines on distributed computing resources.
  • Provides a centralized repository for sharing reproducible single-cell omics analyses.

Conclusions:

  • The developed platform significantly lowers the barrier to entry for single-cell omics data analysis.
  • It promotes greater transparency and reproducibility in the field.
  • Expected to accelerate discoveries by making complex analyses more accessible.