Polly delivers pristine quality GEO datasets that are harmonized with a configurable, granular, and transparent curation process.
Polly curates and harmonizes datasets from GEO and improves findability for relevant datasets by up to 83%.
Polly harmonizes datasets from GEO to achieve ~80% acceleration in gene target identification and validation.
Use our custom curation and Data Concierge services, to streamline access to the most relevant datasets from GEO.
Define your inclusion criteria, analysis needs, and data processing requirements; and let our experts do the heavy lifting.
Polly retrieves datasets from GEO, processes them with customized pipelines (Kallisto, STAR, and Salmon), and annotates them with over 30+ metadata fields at the dataset, sample level, and feature levels, making them ML-ready.
The datasets also go through ~50 QA/QC checks for schema compliance, metadata validation, technical artifacts, and more, for pristine quality data.
Harmonized GEO datasets are stored on an Atlas on Polly for further exploration with code or GUI-based search & analysis.
Perform metadata-based exploration or check for differential expression across datasets using popular tools like Phantasus and CellxGene, hosted on Polly.
Polly's powerful harmonization engine processes measurements, links to ontology-backed metadata, and transforms datasets into a consistent data schema.
Compare a harmonized dataset on Polly with un-annotated data from GEO.