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BB 345 – Python for Molecular Biologists (3)
Develop python programming language skills to analyze biomolecular data, particularly nucleic acid and protein sequences. Design python programs to represent and analyze biological sequences and data. Apply fundamental concepts including reading and writing of sequence files, subsequences, reverse complement, finding sequence patterns, subroutines, and control structures, parsing genomic data files, extracting information from biomolecular data, translating RNA to protein with basic python, curve fitting such as binding curves. This course may be subject to Enforced Prerequisites that restrict registration into the course. Check the offerings below for more information.
For more information, contact OSU Ecampus at 800-667-1465 (option 1) or ecampus.ess@oregonstate.edu.
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Term | CRN | Sec | Cr | P/N | Instructor | Type | Status | Cap | Avail | WL Cap | WL Avail |
---|---|---|---|---|---|---|---|---|---|---|---|
Sp25 | 58809 | 400 | 3 | Hendrix, D. | Online | Waitlisted | 50 | 0 | 10 | 10 | |
Registration Restrictions Recommended: Analytical, critical thinking, and problem solving skills | |||||||||||
Class Notes: This course requires online proctored testing, which mayinclude testing fees and the use of security measures, suchas a scan of your testing environment. Please carefullyreview online proctor test information at: | |||||||||||
Syllabus: Available in Canvas to students enrolled in this course. Or download a sample syllabus. |
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