Olink

Olink®
Part of Thermo Fisher Scientific

Get from data to discovery. Easily and efficiently.

OlinkOlink® Analyze

Simplify the analytical process while enabling custom analysis pipelines with our R package. Investigate your data with statistical and bioinformatic functions.

Unlock possibilities

Olink Analyze, our R package, reads and transforms data, ensures quality, performs statistical analysis, and creates visualizations to uncover biological insights.

Biomarker insights

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.

Statistical Tools

Ensure quality

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

Understand your data

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.

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.

install.packages("OlinkAnalyze")

Generate actionable findings directly from your data

Install now

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.

Statistics

  • On CRAN

    3+ years

  • Downloads

    40,000+

  • Countries

    20+

From sample preparation to data visualization

Olink Analyze offers robust data analysis and visualization tools to enhance insights wherever you are in your research journey.

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’s 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.

See it in action

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.

Access here

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.

Tutorial

Need help randomizing your samples?

Learn how Olink Analyze can make randomization easy.

Open on Cran

Tutorial

Combining multiple Olink studies?

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

Open on Cran

Tutorial

Identifying outlier effects?

Learn to identify and interpret outlier samples with Olink Analyze.

Open on Cran

Additional resources

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

Olink Analyze Cheat Sheet