Polly delivers the highest quality single cell data to fit diverse analysis methods & pipelines. All datasets are Polly Verified, i.e. harmonized with a configurable, granular & transparent curation process.
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Request extra metadata fields, use custom ontologies, or annotate cell types with your preferred marker database.
Process, annotate, and QC single cell data using a scientifically validated Polly pipeline or parameters provided by the author in the original publication.
All single cell datasets delivered by Polly undergo ~50 QA checks to ensure quality and provenance.
Assess the intrinsic quality of the data (genes, cells, measurements) with comprehensive QA reports detailing the processing methodology.
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Avail unrestricted data connectivity and consumption between Polly and your preferred analysis environments. Use APIs to stream harmonized data on Polly to external tools and applications.
We use at least ~50 QA Checks to ensure every dataset is:
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Data validation checks ensure that all cell & dataset level metadata annotations contain non-NULL and non-blank values.
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Rigorous QC checks to ensure metadata attributes are human readable and accurately assigned at all levels (dataset, cell).
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Normalization & Batch Effect correction applied wherever necessary to eliminate technical variations and enable meaningful comparisons between cells.
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Doublets, which can arise during sample preparation and confound analysis, are identified and removed.
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Poor quality cells and genes are filtered out. Genes that drive biological variation are retained and used for downstream analyses.
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