Proteomics in Research and Developmet

Source: https://www.elucidata.io/blog/proteomics-in-research-and-development-a-comprehensive-exploration

Transcript

1. Proteomics Data in R&D Elucidata helps harmonize in-house proteomics data and find relevant datasets from PRIDE and CPTAC, fit for downstream analysis and insight generation.
2. Challenges with Accessing and Using Uncurated Proteomics Data • Lack of Standardization • Data Heterogeneity from In-house Assays • Data Volume requiring Curation • Data Processing and Analysis • Lack of Annotations • Lack of Sample Information
3. • Elucidata’s data harmonization platform, Polly, harmonizes proteomics data from public, in- house sources, and stores them on an Atlas (or a destination of their choosing) in ML-ready formats. • Polly's powerful harmonization engine processes measurements, links it to harmonized metadata, and transforms them into a unified data model ready for downstream analysis. How Does Elucidata Help Mitigate These Challenges?
4. Why Harmonize Proteomics Data on Polly? Request Demo Know More Make In-house and Public Proteomics Data ML-ready in a Fraction of the Time Unify and Manage Data From In-House Assays Configure Curation to Fit Your Analysis Needs Use Data You Can Trust
5. Elucidata not only harmonizes unstructured data, but also offers a suite of solutions for accelerating R&D.
6. Request Demo
7. 24x Faster Proteomics Research with PRIDE on Polly, $500K Savings. • A London-based therapeutics company faced a significant challenge in finding relevant proteomics datasets from the PRIDE repository, as only ~25% of these are completely annotated. • The company partnered with Elucidata to access high-quality, ML-ready proteomics data and completely annotated metadata to construct a comprehensive knowledge graph illustrating the intricate relationships and interactions between proteins in biological systems. • Elucidata employed a 3-step approach to deliver 60 high-quality proteomics datasets, each with over 10,000 samples. These datasets aligned with their inclusion criteria, ensuring that the datasets included disease labeling and all necessary information on samples. • Elucidata’s Polly Verified datasets allowed them to kickstart their research in 1 month versus 24 months, saving them over half a million dollars. Read full case-study here.
8. Trusted By Leading Biopharma Companies: Know More
9. Reach out to us at info@elucidata.io or Book a Demo with us to learn more.