Unlock a Bioinformatic Treasure Trove from Groundbreaking Proteomic Data

Scientists working with proteomic data can now perform powerful bioinformatic analysis through interactive access to large-scale proteomic datasets. These were generated by leading scientists using Olink® Proximity Extension Assay (PEA™) technology and are accessible via Olink Insight, an interactive, online platform that allows you to overlay your proteins of interest on these datasets, enabling rich biological annotation and contextualization.

You can read more in a new white paper that describes and highlights some of the exciting capabilities and powerful datasets available in this free platform. 

Featured datasets

• UK Biobank Pharma Proteomics (UKB-PPP) cohort - currently the largest proteomic dataset of its kind (~3,000 proteins measured in over 50,000 plasma samples using Olink Explore 3072)
• China Kadoorie Biobank
• Arivale wellness cohort
• A pan-cancer cohort of over 1,500 patients from the Uppsala-Umea
  Comprehensive Cancer Consortium (U-CAN)

Interactive data stories to explore

These resources will empower you to explore disease biology, identify novel biomarkers, and accelerate translational insights using interactive biostatistical and bioinformatic features built onto the powerful proteomic datasets detailed above.

Normal Ranges

• UK Biobank Pharma Proteomics (UKB-PPP) cohort - currently the largest proteomic dataset of its kind (~3,000 proteins measured in over 50,000 plasma samples using Olink Explore 3072)
• China Kadoorie Biobank
• Arivale wellness cohort
• A pan-cancer cohort of over 1,500 patients from the Uppsala-Umea
  Comprehensive Cancer Consortium (U-CAN) 
  

Disease Risk

What is already known about protein associations with a broad range of diseases? You will find two interactive data stories, each based on a landmark dataset.

•  Disease Atlas: Cancer
• Proteomics of Disease Risk from the UK Biobank

Biomarker-related bioinformatics

The data that underlies these interactive data stories, along with many other bioinformatic sources, is available to explore in the form of custom lists or as annotations to your own uploaded biomarker lists. Annotations include:

• Proteogenomic data - cis-pQTLs and heritability
• Tissue specificity and Gene Ontology for protein function
• Reactome browser for known pathway associations
• Database of proteins that are targets for approved or in-trials therapeutics