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CASE STUDY
Accelerate cell-type annotation of scRNA-seq Data
Key Highlights
Cell type identification, a vital step for scRNA-seq experiments, can be tedious and erroneous.
Retrieval of raw data from public repositories and literature search for cell-type markers are both cumbersome.
Manual annotation of cell types is slow and it offers limited reproducibility.
A reproducible bioinformatics pipeline to identify cell types was built using Polly and validated.
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