ML for Microbial Genomics by Janani Ravi

Explore machine learning applications in microbial genomics through this comprehensive lecture. Delve into the intersection of computational techniques and genomic analysis, focusing on how ML can enhance our understanding of microbial systems. Learn about various ML methods applicable to genomic data, including sequence analysis, functional prediction, and population genetics. Discover how these techniques can be leveraged to tackle challenges in microbial research, such as antibiotic resistance prediction, pathogen identification, and microbiome analysis. Gain insights into the latest advancements in the field and understand the potential of ML in revolutionizing microbial genomics research and its implications for healthcare and biotechnology.