Topics in Math Genomics - Applications

This course will provide an in-depth discussion of state-of-the-art methodological concepts and approaches for analysis of molecular data, with a focus on sequencing data. The first part of the course will focus on key concepts in sequencing data analysis in the microbiome realm, including the challenges inherent to the field, such as compositionality and bias, recent advances in reference-free metagenomic analyses, and analyses of metagenomic plasticity. The second part of the course will touch upon a variety of topics related to computational genomics and biology, including mathematical modeling of infectious diseases, cancer genomics, and protein molecular modeling. The course will comprise of frontal and guest lectures, as well as presentation of research papers by students. Students will also complete a group project.