An AI biotech processed bulk RNA-seq on a custom STAR pipeline on Polly for ML training data.
The company needed high-throughput bulk RNA-seq processing, integration of public and internal data, and affordable STAR processing. Elucidata deployed a custom STAR pipeline on Polly with harmonization and quality checks. The page reports processing 9x faster and at 5x lower cost than industry averages, about $1.4 million saved, and ML-ready harmonized datasets.
Elucidata is a biomedical data company whose Polly platform harmonizes and curates omics and clinical data for AI-driven target discovery.
This sits in the Data Providers stage of the AI use-case lifecycle: Named examples from the real-world-data, claims and competitive-intelligence providers pharma AI systems are trained on, benchmarked against, or run inside of.
Published by Elucidata on its own site — read the original case study on elucidata.io ↗
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