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Access over 40 genomic, clinical and pharmaceutical databases updated weekly by hundreds of expert curators.
Enrich your NGS analysis and interpretations with cutting-edge bioinformatics software solutions trusted by thousands worldwide.
Make improvements in life possible by partnering with one bioinformatics software provider empowering you from Sample to Insight.
Whole-exome sequencing (WES) using next-generation sequencing (NGS) technology is a powerful tool fo...
Next-generation sequencing (NGS) techniques allow high-throughput detection of a vast amount of gene...
Hint: The secret is in the biological context Today's discovery scientists are challenged with iden...
Read about how researchers across the world are using QIAGEN Digital Insights solutions to accelerat...
The Winter 2020 Release of the Human Gene Mutation Database (HGMD) Professional is available, expand...
Using the Interactive Filter Cascade in QCI Interpret Translational
Overcoming Challenges in Variant Filtering and Prioritization
The key to target and biomarker discovery
QIAGEN Digital Insights Publication Roundup (Spring 2021)
HGMD Professional 2020.4 Release
Targeted NGS panels and optimized analysis and interpretation bioinformatics software tools.
Discovery Bioinformatics Services is a reliable and convenient way to extend your in-house resources with expertise and perfectly tailored bioinformatics software and services that ensure high-quality results.
Enabling pharma companies to develop biomarker diagnostics and targeted therapies using real-world insights from oncology patient genomic data.
Helping clinical testing laboratories leverage the benefits of automation and expert support to improve test turnaround times, enhance clinical reporting capabilities and scale for future growth.
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Çukurova University in Adana, Turkey, analyzes the ancient origins of rare genetic diseases
Scientists at the University of Washington develop new Ebola model and find clues to genetics of host resistance
Mount Sinai identifies a novel prognostic biomarker associated with treatement response in ovarian cancer patients