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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.
Around two decades ago, the amount of data about cancer genomes began to increase rapidly. Managing,...
Discover our new platform for exploring highly-curated single-cell RNA-seq data Are you looking...
The Spring release of HGMD Professional is now available. Containing over 314,707 expert-curated ...
It’s already happened: Several SARS-CoV-2 variants are upon us, lurking in various populations, br...
During the current pandemic, the importance of continually monitoring viral genomes for new mutation...
COSMIC – Powering Precision Oncology Research and Development
Harness the power of deeply-curated scRNA-seq data to accelerate discovery and validation
Announcing the 2021.1 Release of HGMD® Professional
Scale up, quickly and easily: SARS-CoV-2 genomic surveillance data analysis
Building workflows for SARS-CoV-2 mutation analysis in QIAGEN CLC Genomics Workbench
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