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
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Elucidata not only harmonizes
unstructured data, but also offers
a suite of solutions for
accelerating R&D.
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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:
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Reach out to us at [email protected]
or Book a Demo with us to learn
more.
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