Predicting antibiotic resistance from sequencing data

Software for susceptibility testing

 We harness machine-learning software to predict antibiotic resistance and determine pathogen types. Our software runs in a medical grade cloud infrastructure fulfilling current regulatory requirements and those from upcoming IVDR (EU 2017/746) and patient data privacy (EU 2016/679)


The prediction of antibiotic resistance is done from whole genome sequencing data of M. tuberculosis. It covers resistance against the 15 most commonly used antibiotics in tuberculosis treatment.


The software is currently accessible by invitation only. You are welcome to contact us for access. Please write an email to our bioinformatics expert Dr. Sebastian Dümcke ( or use the contact form below.