Bioinformatics Analysis Minor

2a93eec3-83f3-4d90-ab54-8b317dcdd2b9 | 86083

Overview

The bioinformatics analysis minor immerses students in the core challenges and strengths of the field of bioinformatics, as well as the ethical issues involved. Students gain hands-on experience implementing some of the core algorithms utilized by professionals in the field.

Notes about this minor:

  • This minor is closed to students majoring in bioinformatics and computational biology.
  • Posting of the minor on the student's academic transcript requires a minimum GPA of 2.0 in the minor.

Curriculum

Course
Prerequisites
Students must complete the following courses or their equivalent
BIOL-102
General Biology II
This course serves as an introduction to animal and plant anatomy and physiology, in addition to the fundamentals of ecology. Topics will include: animal development; animal body systems; plant development; unique plant systems; Earth's terrestrial and aquatic environments; population and community ecology; animal behavior; and conservation biology.
or
 
BIOL-122
Introductory Biology II
This course serves as an introduction to the diversification of life, plant anatomy and physiology, animal anatomy and physiology, and ecology. Topics include a survey of the taxonomic diversity of the major groups of living organisms, the anatomical and physiological adaptations of both plants and animals, and the principles of the ecological relationships among organisms and environments. Laboratory exercises are designed to illustrate concepts of taxonomy, anatomical & physiological adaptation, and ecological relationships. Labs are also designed to help the development of laboratory skills and techniques for experiments with live organisms, and improve the ability to make, record and interpret observations.
and 
 
BIOL-201
Cellular and Molecular Biology
This course will address the fundamental concepts of Cellular and Molecular Biology. Lectures, assignments, and laboratory projects will explore the structure and function of molecules, organelles, and cells and the biological processes they are involved in. Students in this course will gain an understanding of various molecular mechanisms, structure/function relationships, and cellular processes as they relate to cellular and molecular biology. Students in this course will practice and carry out common laboratory techniques used by Cellular and Molecular Biologists including, recombinant DNA technology, cell trafficking, and cloning techniques.
Required Courses
BIOL-130
Introduction to Bioinformatics
This course will explore topics in the field of bioinformatics including tools and resources used by the discipline, including direct experience with the common user environment.
BIOL-330
Bioinformatics
Bioinformatics introduces students to the analysis of biological sequences: DNA, mRNA, and protein. Emphasis is placed on classical bioinformatics analyses such as gene prediction, sequence alignment, and phylogenetics. The methods are applicable to both human and model organism studies in medical, biotechnological, and classical biology research.
BIOL-425
Ethics in Bioinformatics
This course focuses on individual and organizational responsibilities in bioinformatics research, product development, product commercialization and clinical and consumer genetic testing.
Electives
Choose two of the following
  BIOL-230
   Bioinformatics Languages
This is an introductory course in scripting languages focusing on the Perl programming language, the R statistical analysis program, and their application to biological data. We will investigate the use of Perl and R for processing sequence and "-omics" data, managing a variety of biological data types, and providing effective Web and graphical interfaces to existing tools for analysis of these data.
  BIOL-430
   Bioinformatics Algorithms
  BIOL-494
   Molecular Modeling and Proteomics
  BIOL-635
   Bioinformatics Seminar
The course provides opportunities for students and faculty to develop and share professional interests while discussing current trends and developments in bioinformatics. Material for this course will be drawn from the current scientific literature.