Bioinformatics is an interdisciplinary program offering substantial training in both the biological sciences and the physical and mathematics sciences with an emphasis on computer programming coupled with genetics and molecular biology. Students are expected to acquire programming, databasing, and operating system skills coupled with a foundation in mathematics and statistics. In addition, students will be well trained in biology, chemistry, and/or physics.
The Bioinformatics Major is designed to develop the skills of those students with interests in both computer science and the biological sciences to merge these interests in the area of bioinformatics or computational biology. The breadth of skills acquired will provide students with exciting options from graduate school, professional school (medical, dental, law), to employment opportunities directly out of this undergraduate program, especially with biotechnology companies.
To receive a bachelor's degree a student must fill three groups of requirements: (1) general education requirements; (2) university requirements; and (3) major requirements.
Students should contact their college advisement center for information about general education courses that will also fill major requirements.
See http://saas.byu.edu/classSchedule/policy/fall/univcore.php for information on the University's Core requirements.
Students should see their college advisement center for help or information concerning the undergraduate programs.
| Complete the Following: | |||
| PDBio | 120 | Science of Biology | 2.0 |
| MMBio | 240* | Molecular Biology | 3.0 |
| Bio | 265 | Genomics | 3.0 |
| PWS | 340 | Genetics | 2.0 |
| CS | 142 | Intro Computer Programming | 3.0 |
| CS | 235 | Data Structures and Algorithms | 3.0 |
| CS | 236 | Discrete Structures | 3.0 |
| CS | 240 | Adv Programming Concepts | 3.0 |
| Bio | 365 | Computational Biology | 3.0 |
| Bio | 370 | Bioethics | 2.0 |
| Biol | 420 | Evolutionary Biology | 2.0 |
| Biol | 421 | Evolutionary Biology Lab | 1.0 |
| Bio | 465 | Bioinformatics | 3.0 |
| Chem | 105* | General College Chemistry | 4.0 |
| Chem | 106 | General College Chemistry | 3.0 |
| Chem | 351 | Organic Chemistry | 3.0 |
| Math | 112* | Calculus 1 | 4.0 |
| Math | 113* | Calculus 2 | 4.0 |
| Complete one introductory statistics course: | |||
| Stat | 321 | Elem of Mathematial Statistics | 3.0 |
| Stat | 331 | Intro Bayesian Statistics | 3.0 |
| Complete one advanced statistics course: | |||
| Stat | 336 | Statistical Methods 1 | 6.0 |
| Stat | 421 | Intro Probability and Statistical Theory | 3.0 |
With approval of an advisor, complete 6 hours from upper-division electives in biology, computer science, statistics, physics, chemistry, engineering, or math. |
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*These classes fill both Core and Major requirements (15.0 hours overlap)
See the current Undergraduate Catalog for additional information.
(3:3:1) F,W Prerequisite: PDBio 120 or enrollment as a Bioinformatics Major.
Introduction to genomics and genome projects (human, plant, bacterial, yeast, parasites). Introduction to genes and genomes; computational and statistical approaches for analyzing genomic data, including genome sequencing and annotation, gene expression and the transcriptome, proteomics and functional genomics, and genetic variation and SNPs.
(3:3:1) F Prerequisites: Bio 265 and CS 240
Computational analysis of DNA data; introduction to bioinformatics databasing using Perl and SQL; configuration of UNIX workstations for bioinformatics analyses.
(3:3:1) W Prerequisite: Bio 265
3-D protein structural comparisons, hidden Markov models for database comparisons, homology detection, multiple sequence analyses, and protein family comparisons. Exercises in computer programming in genomics.
Last modified: September 4, 2008. Maintained by Kit Menlove.
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