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Courses

BINF 3350 - Genomics and Bioinformatics (Cross-listed as BIO 3350)

Prerequisite(s): BIO 2306

The overall objective of this course is to familiarize students with concepts in genomics, proteomics, systems biology and bioinformatics. Upon course completion students will be able to properly identify appropriate software for use in solving biologically relevant questions. Individuals will also be able to efficiently use software to address questions and maintain a reasonable web presence.


BINF 3360 - Introduction to Computational Biology

Prerequisite(s): BINF 3350 and CSI 3335.

An introduction to the computable issues in biology. Assignments will focus on gaining competency in the use of bioinformatics applications, algorithm design, Perl programming, protein structure modeling, and genome annotation.


BINF 3V96 - Bioinformatics Internship Experience

Prerequisite(s): BINF 3350 and 3360 and consent of instructor.

Department arranged/approved summer intern work experience in bioinformatics-related position. Includes a minimum of eight weeks of employment.


BINF 43C9 - Bioinformatics Senior Capstone Project

Prerequisite(s): Senior standing, BINF 3360 and CSI 3335.

A semester-long project course in which students will create a bioinformatics computing system. The project requires applying information technology according to established design management practices, including technical presentations (oral and written) by all students.


BINF 5309 - Introduction to Bioinformatics and Systems Biology

Prerequisite(s): Graduate standing or permission of instructor

This course will take a project-orientated approach to defining, understanding, and applying modern tools for genomic and systems biology analysis. Students will gain proficiency at sequence, microarray, and systems biology annotation by following a biological problem through each step of the analysis process.


BINF 5330 - Advanced Computational Biology

Prerequisite(s): Graduate standing or permission of instructor

Advanced course of computational methods for understanding biological systems. Topics include string matching, suffix tree analysis, sequence alignment, and other graph theoretic algorithms for gene mapping and sequencing, phylogenetic inference, and biological network analysis.