Uploaded on Apr 2, 2024
Proteomics is the comprehensive analysis of proteins within a biological system. https://www.elucidata.io/blog/proteomics-in-research-and-development-a-comprehensive-exploration
Proteomics in Research and Development| Elucidata
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. 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 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. Why Harmonize Proteomics Data on Polly? Make In-house and Public Proteomics Unify and Manage Configure Curation Data ML-ready in a Data From In-House to Fit Your Analysis Use Data You Can Fraction of the Time Assays Needs Trust Request Demo Know More Elucidata not only harmonizes unstructured data, but also offers a suite of solutions for accelerating R&D. Request Demo 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. Trusted By Leading Biopharma Companies: Know More Reach out to us at [email protected] or Book a Demo with us to learn more.
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