
Discover biomarkers
Compare protein levels between binary and longitudinal effects to identify biomarkers of drug toxicity, efficacy, and response.
- Biomarker insights
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
3+ years
Downloads
40,000+
Countries
20+
Generate actionable findings directly from your data



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.
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.

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.