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Proteomics in Research and Development| Elucidata

Proteomics is the comprehensive analysis of proteins within a biological system. Proteins are fundamental to biology and their study drives a lot of life science research and development (R&D).<br>https://www.elucidata.io/blog/proteomics-in-research-and-development-a-comprehensive-exploration

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Proteomics in Research and Development| Elucidata

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  1. Elucidata helps harmonize in-house proteomics data and find relevant datasets from PRIDE and CPTAC, fit for downstream analysis and insight generation. Proteomics Data in R&D

  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. How Does Elucidata Help Mitigate These Challenges? • 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.

  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.

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