Must be in the Computer Science Master's or Doctoral programs, or permission of instructor.

Computational methods and hardware systems play an important role in biological research, enabling the analysis of large, complex datasets ofbiological data such as DNA, RNA, and proteins. This course covers cutting-edge and fundamental research papers on algorithms, AI methods, and hardware accelerators for bioinformatics. Papers are selected from diverse areas including genomics, transcriptomics, proteomics, protein structure prediction, and emerging computing paradigms. This is a seminar-style course intended for graduate students and advanced undergraduates with astrong research interest in bioinformatics. No prior knowledge of biology is required.