Introduction to Bioinformatics

This course introduces the theory and practical applications of bioinformatics to genes and proteins. The lecture/computer lab format is structured on bioinformatics primary scientific literature and utility of custom data sets emphasizing recent developments and analytical applications in genomics and proteomics. Course topics, supplemented by relevant biostatistical concepts and applications, include: genomic and biomolecular bioinformatics resources and databases, advances in sequencing technologies, genome and structural informatics, phylogenetics and transcriptomics. Computational tools (using R programming language) and applications promoting best analytical practices will be emphasized. Course Requirements / Eligibility: There is no textbook for this course. A familiarity with basic biological concepts is essential. No formal programming training or advanced mathematical skills are required. Students must have their own computers to access class material and utilize free bioinformatics software and data resources. All course materials (lectures, computer labs, videos, science manuscript .pdf files and data sets, etc.) will be accessible via Canvas course website. Students will also present a pre-approved bioinformatics topic of their choice during the last week of the course. Schedule: This is a synchronous online course, meeting twice weekly for 1h lecture and 2 hours of computer lab. Attendance is mandatory to successfully complete the course. All lecture and lab sessions will be recorded and made available asynchronously for review.