CS 478: Introduction To Bioinformatics

3 credits

Fall 2025 Lecture Upper Division
Data from
Fall 2025
last updated 8/18/2025
Fall 2025 Instructors:

(BIOL 47800) Bioinformatics is broadly defined as the study of molecular biological information, targeting particularly the enormous volume of DNA sequence and functional complexity embedded in entire genomes. Topics will include understanding the evolutionary organization of genes (genomics), the structure and function of gene products (proteomics), and the dynamics of gene expression in biological processes (transcriptomics). Inherently, bioinformatics is interdisciplinary, melding various applications of computational science with biology. This jointly taught course introduces analytical methods from biology, statistics and computer science that are necessary for bioinformatics investigations. The course is intended for junior and senior undergraduates from various science backgrounds. Our objective is to develop the skills of both tool users and tool designers in this important new field of research.

Learning Outcomes

1Demonstrate proficiency with professional skills needed by practicing biologists, including experimental design and execution, biological techniques, data collection and documentation, communication of results, and responsible conduct of science.

2Demonstrate the ability to discuss ethical issues in the application of biological sciences, and the impact of science on society.

3Demonstrate skills in critical thinking. These skills include understanding scientific methods, solving biology-related problems, interpreting and analyzing primary literature in biology, and interpreting data in a meaningful way.

4Demonstrate knowledge of the path leading to specific careers in biology.

5Understand the role of evolution of creating and modifying the macromolecular components of the cell, and in creating biological complexity and variability.

6Use and understand the scientific method, including how to generate hypotheses and predictions, develop an experimental design, collect data, statistically analyze data, and interpret results.

7Demonstrate an understanding of laboratory skills used in genetics.

8Demonstrate knowledge of how evolutionary forces impact and shape microbial function and activity.

9Demonstrate an understanding of the scientific method including hypothesis generation and testing, data collection, analysis, and interpretation.

Course CS 478 from Purdue University - West Lafayette.

Prerequisites

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Rebe...(Fall 2023)

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M

Michael R Gribskov

001
12:30 pm
Lec
W

Michael R Gribskov

001
12:30 pm
Lec
F

Michael R Gribskov

001
12:30 pm
Lec

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CS 478: Introduction To Bioinformatics