About MMG 3310 A

Provides a broad overview of bioinformatics as applied to biomedical research. Topics include data mining, DNA sequence alignment, genetic variation, study design for high-throughput sequencing (HTS), and transcriptomics. Emphasizes a direct, hands-on experience and interacting with software, as opposed to creating software. Credit not awarded for both MMG 3310 and MMG 5310. Prerequisite: MMG 2040 or BCOR 2300; Instructor permission.

Notes

Prereqs enforced by the system: MMG 2040 or BCOR 2300; PACE students by permission and override.

Section Description

The introductory course is designed to provide students with a comprehensive foundational understanding of bioinformatics. The curriculum places a significant emphasis on the utilization and interpretation of biological sequence data including DNA, RNA, and proteins, sourced from a diverse array of bioinformatics databases. Additional topics covered include data mining, DNA sequence alignment, genetic variation, next-generation sequencing (NGS), and transcriptomics. Approximately 75% of class is dedicated to lectures and the remaining 25% is allocated for hands-on, coding-based activities.

Evaluation

(2) Projects, (1) Primary Literature Summary, Homework assignments, Quizzes, and Class Participation

Important Dates

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Deadlines
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Last Day to Withdraw with 25% Refund
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