AI analysis of Next Generation Sequencing data to identify infectious agents and their properties

The project focuses on making AI based methods available at SVA that can analyze data from so-called Next Generation Sequencing (NGS). NGS is a method that generates millions of sequence reads of short randomly selected regions in genetic material. The aim of the project is to test and adapt AI-based analysis of NGS data for identification of microbiological infectious agents and diagnostically important properties of these such as virulence and antibiotic resistance.