Biological databases are notorious for poor data standards, and public single cell data is no exception.

The issues can be many: Lack of standards for cell-level metadata deposition, variable data processing pipelines or missing cell annotations.

In this webinar, our experts dive into these challenges and lessons learned while curating public single cell studies.

What You’ll Learn:

  • A tried and tested formula for assigning cell type identity to single cell clusters
  • Stitching raw single cell data at source (count matrix, cell annotations, marker information, metadata) into analysis-ready files
  • How Elucidata’s Polly enables retrieval and analysis of ~1700 curated single cell datasets.

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