Bioinformatics Algorithms in Genomics

Graduate / Professional

This course introduces key algorithms used in computational genomics, with a focus on both classical bioinformatics methods and emerging machine learning and deep learning approaches. Topics covered include sequence alignment, genome assembly and comparative genomics, variant identification and analysis, and gene expression and regulation, along with advanced techniques for specialized applications such as cancer genomics. Through hands-on exercises and projects, students gain practical experience in implementing algorithms and analyzing real-world genomic data. By the end of the course, students are prepared to conduct independent genomic analyses or develop novel bioinformatics algorithms to tackle emerging challenges in genomics. W 9:30am-12pm