QIAGEN powered by

Research and discovery ​

Powerful digital insights to help you innovate, integrate and translate scientific results into impactful discoveries ​

The insights you need to drive discovery

Our advanced pathway analysis helps scientists like you gain deep insights into your data with multiple sources of knowledge.  

Learn more about our solutions

From data analysis to databases, from gene expression to genome assembly, from interpretation to integration – we have the breadth and quality of solutions you need to drive meaningful insights and new discoveries.

Biomarker identification

Find the best biomarker candidates with biological characteristics that relate to your discovery research

Target discovery

Easily validate your target, reduce risk and accelerate your path to market ​

Mechanism of action

Discover the effects and potential side-effects your target has on genes, proteins, pathways and more, minus the data processing

Single-cell genomics

Explore our powerful solutions for the analysis and interpretation of single-cell genomics

Pipeline management

Learn more from your experimental data about gene regulation, from bisulfite-sequencing to transcription factor ChIP-seq

Microbial & metagenomics

Improve your microbiome analysis, isolate characterization, functional metagenomics and resistance identification

Gene regulation

Overcome NGS and 'omics data analysis challenges with our user-friendly and comprehensive bioinformatics software solutions​

Don't take our word for it​

See what our customers have to say about our solutions

QIAGEN’s bioinformatics offerings are easy to use and the support behind them is excellent.

Michael Eisenhut, a clinical professional at DCL Pathology

My experience with QIAGEN has been positive, with helpful and knowledgeable technical support and access to idea people that help develop projects.

Bioinformaticist, medium enterprise aerospace & defense company

The impact of QIAGEN Bioinformatics on my organization is invaluable to the interpretation and analysis of major population datasets we gather from our public data repositories.

Christian Perez, Lab Director, Florida International University
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