References HealthEducation

Evaluation of genetic sequencing data from cancer patients

Development of an automated analysis pipeline for the UKE Hamburg Eppendorf. It analyzes genetic data of cancer patients to determine whether a treatment was successful. The application was deployed on Microsoft Azure and is highly scalable to handle large amounts of data in a short time.

• B and T cell analysis for cancer diagnosis, immunotherapy and transplantation applications
• Micro-service-based architecture for various gene analysis workers
• IKVM for interfacing Java tools in .NET application
• SignalR Controller for Real-Time Communication