Fall 2024  |  GCD 3485 Section 001: Bioinformatic Analysis: Introduction to the Computational Characterization of Genes and Proteins (15378)

Instructor(s)
Class Component:
Laboratory
Credits:
4 Credits
Grading Basis:
A-F only
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person
Times and Locations:
Regular Academic Session
 
09/03/2024 - 12/11/2024
Mon, Wed 11:15AM - 01:10PM
UMTC, East Bank
Science Teaching Student Svcs 512B
Enrollment Status:
Closed (30 of 30 seats filled)
Also Offered:
Course Catalog Description:
Bioinformatic analysis is the exploration of molecular sequence, structure, and function using online tools and databases. In this class, we'll learn to use some of the most powerful tools available for biologists to investigate the nature of genes and proteins. We will each explore a gene and the protein it encodes that no one before us has studied. We will learn to analyze and interpret the diverse forms of bioinformatic data we obtain, and we will consider how the data we find allows us to generate and evaluate original hypotheses that can be tested in the laboratory. This is a hands-on course. While the class has no exams, it does require the completion of four problem sets and a summative final project over the course of the semester. It also involves doing some peer review of classmates' work. prereq: introductory course in genetics and cell biology such as Foundations
Class Description:
Students in this practical and hands-on course learn how to use computer applications for the manipulation and analysis of DNA, RNA, and protein sequences. Each student works with a human gene/protein of unknown function that they choose at the beginning of the semester. Over the course of the semester students carry out a complete bioinformatic analysis of their gene/protein, becoming the world-expert on it in the process. There are no quizzes or exams. Instead students have structured "problem sets" of analyses to carry out on their gene/protein and four scheduled individual meetings outside of class with the instructor to present their work on these and receive feedback to allow them to improve or extend their work. As a culminating experience students present their work to the class and write the Wikipedia page on their gene/protein.
Class Format:
25% Lecture
10% Discussion
25% Laboratory
5% Student Presentations
35% Demonstration
Workload:
10 Pages Reading Per Week
40 Pages Writing Per Term
1 Presentation(s)
1 Special Project(s)
4 Problem Set(s)
Textbooks:
https://bookstores.umn.edu/course-lookup/15378/1249
Instructor Supplied Information Last Updated:
11 November 2010

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