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Galaxy single-cell & spatial omics community update: Navigating new frontiers in 2025.

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Single-cell omics enables detailed biological research. The Galaxy platform now offers integrated tools and training for reproducible single-cell and spatial omics analyses, fostering collaboration.

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Area of Science:

  • Genomics and Bioinformatics
  • Molecular Biology

Background:

  • Single-cell omics technologies have transformed biological research by allowing high-resolution analysis of cellular heterogeneity.
  • The field has expanded from transcriptomics to multiomics and spatial analysis, increasing the need for unified computational pipelines.
  • Existing analyses lack standardization, highlighting the necessity for scalable, flexible, and integrated bioinformatics tools.

Purpose of the Study:

  • To address the need for unified pipelines in single-cell and spatial omics.
  • To present the Galaxy platform's advancements in providing accessible tools and training for these analyses.
  • To introduce the Galaxy single-cell and spatial omics community (SPOC) for global collaboration.

Main Methods:

  • Leveraging the Galaxy platform to develop and integrate a suite of over 175 freely accessible tools.
  • Creating more than 120 expert-reviewed training resources for single-cell and spatial omics data analysis.
  • Implementing and managing over 300,000 jobs on the Galaxy platform.

Main Results:

  • The Galaxy platform now offers a comprehensive ecosystem for single-cell and spatial omics research.
  • Extensive training materials empower researchers to perform and interpret complex analyses independently.
  • The development of the Galaxy SPOC facilitates global collaboration and knowledge sharing.

Conclusions:

  • The Galaxy platform provides a robust, scalable, and accessible solution for single-cell and spatial omics research.
  • The initiative promotes reproducible, usable, and sustainable scientific practices in the field.
  • Galaxy SPOC is poised to advance global collaboration in advancing single-cell and spatial omics research.