Analyze and interpret large biological data sets. Genome- and transcriptome-based quantitative methods. Data management techniques. Exercises in evaluating research studies and in developing computational methods for research. Semester project.
 Hours3.0 Credit, 3.0 Lecture, 0.0 Lab
 PrerequisitesBIO 365; or C S 418
 ProgramsContaining BIO 465
Course Outcomes

Overall purpose

The overall purpose of this course is to help students develop skills in bioinformatics research techniques, apply these techniques to primary-research questions, and make well-supported scientific conclusions that link basic biology and computational techniques.

Apply bioinformatics tools and techniques

Students will apply modern computational tools and techniques to biological data sets, consisting of genomic, transcriptomic, and ecological data.

Evaluate research

Students will demonstrate proficiency in reading, interpreting, and discussing research studies that use bioinformatics techniques.

Perform research

Students will design and execute an original research study using bioinformatics techniques and place the study in context with previous studies described in the primary literature.

Present research

Students will demonstrate mastery of elementary scientific communication by describing research results and conclusions in written and oral form at a level that would be acceptable for presentation at an academic conference.