BIOL 352 - Bioinformatics

This course will explore the range of biological questions being addressed with genomic approaches, the specific genomic methods employed to address these questions, and the kinds of bioinformatic challenges and solutions that exist for working with genomic data. The primary objectives of this course are 1) to understand the biological principles that underpin and are illuminated by specific genomic techniques and 2) to be able to evaluate and utilize existing bioinformatics tools to work with genomic datasets. Lectures will focus on contemporary studies from the primary literature that utilize genomic approaches. These will provide case studies to critically assess the utility of these approaches for addressing specific biological questions, as well as to examine the kinds of data that are produced and the challenges presented in analyzing them. Computer-based laboratories will provide opportunities to develop and implement bioinformatics pipelines to analyze genomic datasets.

Unit(s): 1
Group Distribution Requirement(s): Distribution Group III, Distribution Group III-Data Collection and Analysis
Prerequisite(s): BIOL 101 and BIOL 102
Instructional Method: Lecture-laboratory
Grading Mode: Letter grading (A-F)
Not offered: 2024-25
Group Distribution Learning Outcome(s):

Use and evaluate quantitative data or modeling, or use logical/mathematical reasoning to evaluate, test or prove statements.
Given a problem or question, formulate a hypothesis or conjecture, and design an experiment, collect data, or use mathematical reasoning to test or validate it.
Collect, interpret, and analyze data.