Empower R&D teams with curated biomedical data to reach critical milestones faster on Polly
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Explore Polly's collection of curated biomedical datasets aggregated from 10+ public sources. Datasets on Polly are consistently processed and enriched with ontology backed metadata, making them queryable and analysis-ready.
Find relevant datasets within minutes using rich metadata annotations and supplementary scientific information. Run cross study, source and omics type queries on semantically aligned biomedical datasets.
Cut down time spent on data wrangling and jump straight to analysis using an actionable, curated set of biomedical datasets. Request deeper curation to capture rich metadata and relationships between samples, features and other biomedical entities.
Improve research velocity with access to curated biomedical data on Polly
Discover targets 75% faster using high quality biomedical datasets from Polly. Perform more robust analysis and match indications to targets faster.
Don't lose weeks of your research time to data wrangling. Free atleast 1700 hours per study with access to consisently processed datasets from Polly.
Realise insights from over 43,000 deeply curated single cell and Bulk RNA-Seq datasets spanning a wide sprectrum of disease areas.
Rich metadata annotations help you infer the entire experiment design over an intuitive UI (sample descriptors, volume of cells, donor information).
Dataset, sample, and feature level metadata are harmonized with consistent ontologies to enable cross-study, source, and data type queries.
Discover related datasets easily using underlying connections in the metadata powered by knowledge graphs and ontology mapping.
Elucidata’s Polly has transformed over 80 TB of semi-structured data from the public domain into a consistent data schema. The platform uses NLP-based models (Polly-BERT) to impute metadata at scale, with human levels of accuracy.
biomedical datasets ingested and curated to ML-ready grade.
times as much metadata after curation.
accuracy for study, sample and feature level curation.
more results by searching with harmonized metadata.
Analyze and visualize data to extract insights using tools and integrations on the platform.
Run complex queries and connect results to your pipeline using API and libraries.
Let your experts focus on high value tasks like insight generation rather than data cleaning.
Ingest, curate & prepare the data for AI/ML applications with centralized control.
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"...Data processing and scientific reporting of metabolomics data are crucial but also tedious. Polly’s range of applications helped our team in accelerating these processes significantly and effectively"
"Extremely impressed by Polly and its power to digest and integrate large datasets. The unique partnership that we have allows us to work hand-in-hand with software engineers and scientists to rapidly develop novel hypotheses that we can test in the lab..."
"Data analysis is the biggest bottleneck for metabolomics research. Elucidata has worked directly with us to streamline our analysis pipeline, accelerating the pace of our research."
"We really were pleasantly surprised because this tool [El-MAVEN] is really useful in fast analysis of tracer data. It allows us to really look at a broad set of targets so you are not limited anymore for data analysis. A data analyst of mine stepped up to me and said, "I can do now in 3 hours what used to take 4 days."
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