Olink

Olink®
Part of Thermo Fisher Scientific

Overview

Flexible analysis, built for Olink data

Olink Analyze is an open-source R package built for common Olink-specific analysis tasks and reproducible workflows. Use documented, modular functions within your existing R workflow – from data preparation and quality assessment to normalization, statistical analysis, visualization, and biological interpretation.

Discover biomarkers

Compare protein levels between binary and longitudinal effects to identify biomarkers of drug toxicity, efficacy, and response.

  • Biomarker insights

Uncover signatures

Determine protein differences across any number of categories for early detection, diagnosis, and prognosis.

  • Biomarker insights

Ensure quality

Identify outliers and trends with quality control assessment to ensure high-quality analyses.

  • Statistical tools

Connect studies

Utilize functions and tutorials to normalize and compare data across multiple Olink studies.

  • Understand your data

Link to biology

Determine biological mechanisms of action with seamless analysis of pathway enrichment to connect data to biology.

  • Understand your data

    Features

    From Olink data to biological interpretation

    Use the parts you need and combine them with your existing R workflow. Olink Analyze supports the analytical journey from importing and validating Olink data through exploration, statistical analysis, visualization, and biological interpretation.

    Prepare & validate

    Import Olink data, identify and resolve common data issues, and standardize routine cleaning before analysis.

    Combine & explore

    Normalize data across projects and explore global trends, outliers, sample patterns, and potential batch effects.

    Analyze

    Run common statistical analyses for group comparisons, repeated measures, covariates, and other study designs.

    Visualize

    Turn results into publication-ready visualizations, including volcano plots, boxplots, heatmaps, and longitudinal plots.

    Interpret

    Connect protein-level results to underlying biological processes and pathways using pathway enrichment and move from significant proteins toward actionable hypotheses.

      Software overview
      Unlock the trends 
in your data

      Use the R package specifically tailored for exploring and analyzing your Olink data. R is a powerful programming language for statistical analyses and generating impactful, publication-ready visualizations.

      This package enables automation of statistical analysis using modular sets of code (functions) to expedite and simplify your data analysis. Backed by the world’s leading open-source R repository, you can feel confident using Olink Analyze to analyze your data.

      Olink Analyze is a trusted resource used to uncover the truth of real-time biology for innovative startups, small research labs, and leading institutions and pharma companies.

      On CRAN

      4+ years

      Downloads

      53,000+

      Countries

      100+

      install.packages(“OlinkAnalyze”)

      Generate actionable findings directly from your data

      INSTALL NOW

      See it in action with Olink™ Insight

      Olink Analyze drives key features inside our online bioinformatics app, Olink Insight. This includes advanced data visualization, study planning tools, and data stories that clearly show how the code is best used.

      OPEN OLINK INSIGHT

      Analysis workflow

      Spend less time preparing your data

      Reduce manual troubleshooting with tools that check Olink datasets for common issues and standardize routine data cleaning. Build more reproducible preprocessing into your workflow so you can spend more time exploring and analyzing your results.

      Sample prep

      Reduce noise and enhance data quality through proper randomization and bridge sample selection. Olink Analyze offers functions and tutorials to simplify sample preparation.

      Data input and normalization

      Import your data into R to enhance your analysis. Use Olink tools to combine multiple Olink studies and adjust for batch effects.

      Outlier detection and pre-analytical QC

      Identify and address technical or biological outliers that can distort statistical results. Examine key aspects of your data to investigate or remove outlier samples.

      Statistical analysis

      Reveal trends, highlight group differences, generate new hypotheses, and discover biomarkers of interest with Olink Analyze’s suite of functions.

      Visualization

      Create clear and effective figures for presentations and papers, making your findings easier to understand and interpret.

        Normalization
        Bring Olink studies together

        Working across multiple Olink projects? Olink Analyze provides supported normalization approaches to help bring datasets onto a comparable scale, including bridge, subset, and reference normalization, with additional support for normalization workflows spanning three or more studies.

        DATA INTEGRATION AND NORMALIZATION
        Tutorials

        Our tutorials provide an overview of the comprehensive training materials available and offer insights into sample randomization, data normalization, and outlier identification using Olink Analyze.

        Need help randomizing your samples?

        Learn how Olink Analyze can make randomization easy.

        • TUTORIAL
        OPEN ON CRAN

        Combining multiple Olink studies?

        Use Olink Analyze to select bridging samples and normalize your data.

        • TUTORIAL
        OPEN ON CRAN

        Identifying outlier effects?

        Learn to identify and interpret outlier samples with Olink Analyze.

        • TUTORIAL
        OPEN ON CRAN
        Build your Olink data analysis skills

        New to proteomics data analysis or looking to build your skills? Learn directly from Olink Data Science experts through hands-on, R-based training centered around Olink Analyze. Build the knowledge and confidence to work with Olink data and perform common analyses yourself.

        DATA SCIENCE TRAINING

        Additional resources: Olink Analyze cheat sheet

        Our platform was built in close collaboration with our community, and the tools and services we prioritize are the ones our customers are asking for. This close relationship drives proteomics forward—not just for you, but for everyone.

        OPEN CHEAT SHEET
        Ready to analyze your Olink data?

        Install Olink Analyze and explore documented workflows, examples, and resources to start building the analysis that fits your research.

        INSTALL OLINK ANALYZE