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Structure Bioinformatics is a course about mathematical modeling, computational methods and systems for biological structure obtaining and analysis. The ultimate goal is to understand the process and mechanism of the flow of biological information from DNA to RNA to protein. This course will focus on the theory and methods for sequence analysis. We will use frontier research cases as teaching examples in the classroom. Therefore, this course emphasizes the capability of programming and problem solving so that students will feel confident to solve genomics and proteomics related problems after they finish this course. This course targets on all related majors in life sciences in graduate level. It can also serve as a general elective course for senior undergraduates in life sciences.
The content of this course include fundamental methods and knowledge about genomics and proteomics sequence acquiring and analysis. Students are required to master the core algorithms and mathematical models for sequence analysis, and the underlying mathematical, statistical theory and their biological interpolations. Latest knowledge about progress of genomic and proteomic sequence analysis and their applications will be exposed to students.
During this course, students are required to apply the theories and software learned from the course to solve a real problem by data acquiring, sequence analysis, model selecting, model training and use the model to analyze the data from a sequence to its functions. Students will get promoted in their capability of problem analysis and problem solving for their future career by the training in three different aspects provided by this course: modeling, algorithms, and their applications.
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