Provides an in-depth algorithms-based introduction to major concepts and techniques in bioinformatics. Topics include algorithms for structure prediction and similarity, sequence similarity and alignment, metabolic and regulatory pathways, sequence assembly, comparative genomics, expression analysis, database searching, artificial life and biological computation. Weekly hours: 3 Lecture hoursPrerequisite(s): Open to students in computer science, life sciences, and natural sciences, but subject to permission of the instructor.
Provides an in-depth algorithms-based introduction to major concepts and techniques in bioinformatics. Topics include algorithms for structure prediction and similarity, sequence similarity and alignment, metabolic and regulatory pathways, sequence assembly, comparative genomics, expression analysis, database searching, artificial life and biological computation. Weekly hours: 3 Lecture hoursPrerequisite(s): Open to students in computer science, life sciences, and natural sciences, but subject to permission of the instructor.
