Web-TOAST
TOAST (Tuberculosis Optimised Amplicon Sequencing Tool) is a powerful and flexible computational tool designed to generate targeted amplicons for bacterial sequencing, with a specialized focus on Mycobacterium tuberculosis. While TOAST can be adapted for a range of bacterial species, it has been specifically optimized for TB genomic studies, integrating a global drug resistance database containing mutations from over 50,000 M. tuberculosis isolates. This ensures that the designed amplicons effectively cover clinically relevant resistance markers across 13 anti-TB drugs, supporting rapid and accurate resistance profiling.
I am a PhD candidate in Computational Genomics at the London School of Hygiene and Tropical Medicine, specializing in tuberculosis (TB) drug resistance and transmission analysis. With a strong foundation in bioinformatics, machine learning, and genomic data analysis, my work focuses on developing computational tools and models to enhance the understanding and treatment of infectious diseases.