Are you ready to uncover the signals that lead to breakthrough discoveries in your human disease research? Biomedical Genomics Workbench is a comprehensive and accurate data analysis platform that enables you to find the signal in the noise in your cancer and hereditary disease NGS data. With its broad selection of end-to-end analysis workflows, tools, and visualization modules, it enables easy and accurate discovery, verification, and validation of novel disease biomarkers.
Discover novel insights with greater than 95% sensitivity and unsurpassed accuracy. Biomedical Genomics Workbench guides you through a complete analysis of your genome, exome, targeted amplicon, transcriptome, and epigenetic NGS sequencing data for results you can trust.
Modify workflows and discovery parameters for hypothesis-led analysis that guides you to the most promising breakthroughs.
Simplicity, flexibility, and accuracy combine to provide you with a solution that is more than 50% faster than open-source alternatives.
With the help of Biomedical Genomics Workbench and it’s clearly laid out and intuitive user interface, I was able to prototype, develop, and validate a custom targeted amplicon NGS data analysis pipeline in a matter of a few weeks. Any roadblock I would come across in this process was resolved either with the detailed documentation available or with a quick email to their responsive technical support team.
Steven Lockton, Biological Dynamics
QIAGEN Bioinformatics provides a portfolio of NGS solutions that integrate seamlessly to aid researchers in the fight against hereditary disease and cancer.
Learn from a case story how Biomedical Genomics Workbench is used for the identification of low frequency variants from a tumor/normal pair.
Start your 30-day no obligation trial of Biomedical Genomics Workbench today and take a look at our tutorials to see how you can use the software for your research.
1. Variant identification in a tumor sample
2. Identification of somatic variants in a tumor sample using the matched normal sample for removal of germline variants
3. ChIP Sequencing using the Biomedical Genomics Workbench
4. Modification of an existing workflow
5. Visualize variants on protein structure
6. Copy Number Variant Detection
7. RNA-Seq Analysis of Human Breast Cancer Data
We frequently release updates and improvements such as new functionalities, bug fixes or plugins. To get a complete overview, please read the latest improvements.
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