Case study card:
Automated analysis of large proteomic and genomic datasets
Centogene is the ‘rare disease company’ focused on drug discovery.
Laboratory instruments for genomics and metabolomics are producing an increasing amount of data that is unsuitable for manual analysis.
Our supplier built a tool to automate the analysis of large proteomic and genomic datasets.
By using machine learning, Centogene now performs automated pattern recognition on large datasets ̶ allowing them to shorten analysis time to obtain new insights about rare diseases.
This in turn helps them to identify multiple biomarkers or additional biomarker patterns in order to accelerate the development of treatments for patients.
Biotechnology - scientific research