Single-Cell Omics

About the Community

The Single-Cell Omics (SCO) Community aims to advance the study of biological phenomena and cellular heterogeneity by leveraging single-cell omics technologies.

These technologies offer exciting possibilities:

  • Identifying rare cell types previously hidden within complex tissues.
  • Investigating diverse cell states to understand how cells function and interact.
  • Gaining insights into fundamental processes like development, gene expression, and disease progression at an unprecedented, cellular level.

The ELIXIR Single-Cell Omics Community is actively addressing these challenges through several key initiatives:

  • Promoting data standardisation to ensure data from different studies can be compared and integrated.
  • Developing benchmarking tools to assess the performance of new analysis methods.
  • Providing computational resources to facilitate researchers' access to the power they need for complex data analysis.
  • Organizing training programs to equip researchers with the necessary skills and knowledge to utilize these technologies effectively.

By tackling these critical areas, the ELIXIR Single-Cell Omics Community fosters international collaboration and empowers researchers to unlock the full potential of single-cell omics for groundbreaking discoveries.

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Contribution of ELIXIR Italy

At the national level, the ELIXIR-IT SCO community, established in 2022, is actively working on several fronts:

  • Developing benchmarks for SCO;
  • Designing tools for detecting epitranscriptomic changes at the single-cell level;
  • Organising training courses, with the first online course held in February 2023, attended by more than 80 participants;
  • Surveying available methods for their registration in the bio.tools catalogue;
  • Creating a Slack channel to exchange information about SCO software and datasets for benchmarking;
  • Exploring OpenEBench for benchmarking SCO data analysis methods;
  • Evaluating the computing needs for SCO data analyses;
  • Promoting and disseminating the use of FAIR data and metadata standards for single-cell omics.
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Representative

Raffaele Calogero Portrait
Raffaele A. Calogero Università di Torino
Portrait of Ernesto Picardi
Ernesto Picardi Università di Bari