Olink

Olink®
Part of Thermo Fisher Scientific

Data Ecosystem
Bring more context to your proteomics data

Connect your proteomic data to large-scale cohorts like the UK Biobank and SCALLOP to validate findings, contextualize findings and compare across studies, and accelerate discovery.

Data journey

Where data integration fits in the data journey

This stage of the Olink data journey helps you move beyond isolated datasets and ensure confident cross study analyses. Explore population-scale datasets in Olink Insight, normalize and bridge your NPX data, integrate across studies, and interpret results with expert guidance.

Study Design

Plan your proteomics study with the right design, sample strategy, and endpoints for confident downstream analysis.

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Data Generation & QC

Generate high-quality NPX data and apply robust QC so results are reliable before integration and comparison.

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Data Integration & Normalization

Move beyond isolated datasets—normalize and bridge NPX data, connect to population-scale cohorts, and compare across studies.

Data Interpretation

Interpret findings with annotation tools, statistical methods, and expert guidance from Olink Data Science Services.

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    Integrated insights
    Extending the value of your data with integrated proteomics

    Connecting your proteomics data with other Olink datasets and population-scale resources helps you compare findings to other studies, explore biological context, and make more confident interpretations.

    The Olink Data Ecosystem supports data integration through accessible datasets, normalization and bridging strategies, annotation tools, and expert guidance.

    Research need

    How Olink data integration helps

    Dataset scope

    Connect findings with population cohorts (UK Biobank, Scallop, etc.) and other Olink datasets.

    Statistical power

    Enhance limited-sample studies by leveraging and cross-referencing existing large cohort datasets.

    Comparability

    Standardize normalization and bridging functions for meaningful cross-study and cross-product comparisons.

    Contextualization

    Annotate proteins with disease associations, normal ranges, pathways, and drug target status.

    Support

    Access Olink tools and Data Science Services for guidance on study design and data integration strategy.

    Data ecosystem
    Take advantage of landmark datasets to empower your study

    Olink Insight provides interactive data stories based on landmark datasets such as the UK Biobank, China Kadoorie Biobank, Arivale wellness cohort, and the Uppsala–Umea cancer cohort to:

    • Explore associations between ~3,000 proteins and over 100 diseases
    • View normal range variations, disease overviews and Kaplan–Meier plots
    • Annotate your own protein lists with disease associations, pathway information, genetic variants, and drug target status.
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    Dive deeper into proteomics data integration strategies

    Explore these datasets, approaches, and tools that help you combine and compare Olink proteomic data across studies, unlock broader biological context, and prepare for integrated data analysis.

    UK Biobank proteomics dataset

    Learn about the UKB Pharma Proteomics Project containing ~3,000 proteins measured in >50,000 samples and >10 years of follow-up investigations. Then, explore disease associations and download summary statistics via Olink Insight.

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    Normalization & bridging

    Understand strategies for bridging sample selection, bridging across studies, and cross-product normalization with Olink Analyze functions or Data Science Services.

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    Combine data with Olink Analyze R package

    Use the Olink Analyze R package to import NPX datasets, perform QC, normalize across projects, and visualize results. Learn how to prepare your data for cross-study meta-analysis.

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    Other large datasets

    Explore SCALLOP, China Kadoorie Biobank, Arivale, and U-CAN datasets available through Olink Insight to expand your research horizons.

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    Data annotation tools

    Discover Olink Insight annotation features including proteogenomic data, tissue specificity, pathway associations, and drug target status.

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      Normalization strategies
      Advance your data integration journey

      Ready to connect your data to a global proteomic network? Explore these resources to learn practical normalization strategies or engage with our Olink experts to accelerate your research.

      Olink Insight sign up

      Create a free account on Olink Insight to explore datasets, annotate your proteins, and plan your studies.

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      Normalization & bridging tutorial

      Get a step-by-step tutorial on how to normalize and bridge NPX datasets using Olink Analyze and its bridging functions.

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      Consult with data science experts

      Request support for complex studies, normalization reports, or custom analyses.

      CONTACT SUPPORT
        From Biobank to Breakthrough: Activating Proteomic Data for Precision Medicine

        Biobanks are becoming essential infrastructure for precision medicine, connecting biological samples with longitudinal clinical data at the scale needed for biomarker discovery, validation, and disease stratification.

        This webinar will explore how researchers can leverage existing biobank and population-scale proteomics data more effectively. Using examples from large cohort initiatives, the session will show how researchers can contextualize biomarkers, validate findings across populations, strengthen study design, and interpret disease associations.