Explore patterns, compare groups, and identify proteins associated with your research question. Use guided statistical analysis in Olink Insight, flexible R-based workflows with Olink Analyze, or your own analytical pipeline to prioritize findings and determine what to investigate further.
Once analysis identifies proteins of interest, Olink Insight helps you understand what those findings mean biologically. Adding complementary biological evidence can help you distinguish the signals worth pursuing, develop stronger hypotheses, and define your next research question.
Biological context
How Olink Insight helps
See how proteins are detected across four different sample matrices in approximately 40 real-world Olink Explore HT projects.
See how proteins are associated with disease risk in population-scale datasets and examine the evidence around your findings.
Place proteins within known pathways and biological processes to identify shared mechanisms and broader biological themes.
Explore where proteins are expressed to add tissue context and help interpret the biology behind observed signals.
Use large-scale cohort data, including UK Biobank, to put findings into a broader population context.
Add proteogenomic information such as pQTLs and heritability to investigate genetic support for proteins of interest.
Identify proteins linked to approved or investigational therapeutics to understand existing drug-target context.
Olink Insight is a free online bioinformatics app that helps you explore and annotate prioritized proteins. Bring your biomarker lists into one environment, investigate supporting evidence across curated datasets and annotations, and use that context to refine hypotheses and decide what to investigate next.
Integrate Olink data into your existing R or Python workflows, data platforms, multiomics analyses, visualization tools and custom models. Use Olink tools where they add value while keeping control of your analytical workflow.
Olink Insight offers 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:
Olink Insight is the primary self-guided route for biological interpretation. For questions requiring code-based analysis, tailored support, training, or specialist capabilities, extend your workflow with Olink Analyze, Olink Data Science Services, or compatible third-party tools.
Use compatible third-party tools, keeping your workflow flexible and connected across your broader data ecosystem.
Watch the Post-Run Analysis walkthrough to see how Olink Insight supports automatic annotation and biological interpretation once statistical analysis has identified proteins of interest.
