BIOL 213 Computational Biology

This course provides a broad overview of bioinformatics and computational biology. The course’s goal is to address biological questions using computational approaches and the analysis of data. This course emphasizes direct, hands-on experience with applications to current biological research problems. The research problems include DNA sequence alignment, genomic data manipulation and search, molecular phylogenetics and evolution, protein sequence alignment and structure prediction, and algorithms.

Credits

3

Prerequisite

BIOL 101 or BIOL 120 and 4 credits of chemistry

Hours Weekly

2 hours lecture, 2 hours recitation weekly

Course Objectives

1. 1. Demonstrate an understanding of computer programming methodology and apply software tools for biological data analysis.
2. 2. Select and apply common bioinformatics tools and databases.
3. 3. Demonstrate an understanding of genomics, gene expression, proteomics, and molecular genetics principles and methods.
4. 4. Demonstrate an understanding of algorithms and algorithm design.
5. 5. Describe selected experimental techniques in biology and the underlying concepts.

Course Objectives

1. 1. Demonstrate an understanding of computer programming methodology and apply software tools for biological data analysis.
2. 2. Select and apply common bioinformatics tools and databases.
3. 3. Demonstrate an understanding of genomics, gene expression, proteomics, and molecular genetics principles and methods.
4. 4. Demonstrate an understanding of algorithms and algorithm design.
5. 5. Describe selected experimental techniques in biology and the underlying concepts.