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CPSC 450 - Bioinformatics
This course introduces computational techniques for solving biological problems and presents an overview of the tools and the methods used to analyze large biological data sets. After introducing molecular biology for computer scientists—cells and organelles, chromosome, gene, DNA, RNA, proteins, transcription and translation—the course explores pairwise and multiple sequence alignment, sequence database searches, pattern identification of genes, promoters and transcription factor binding sites, as well as secondary and tertiary structure prediction for RNA and proteins. Markov models for gene prediction are introduced. Credits: 3.000 Levels: Undergraduate Schedule Types: Lecture, Self-Directed, Final Exam, Lec/Lab/Tut Combination, Laboratory

CPSC 450 - Bioinformatics

This course introduces computational techniques for solving biological problems and presents an overview of the tools and the methods used to analyze large biological data sets. After introducing molecular biology for computer scientists—cells and organelles, chromosome, gene, DNA, RNA, proteins, transcription and translation—the course explores pairwise and multiple sequence alignment, sequence database searches, pattern identification of genes, promoters and transcription factor binding sites, as well as secondary and tertiary structure prediction for RNA and proteins. Markov models for gene prediction are introduced.
Credits: 3.000

Levels: Undergraduate
Schedule Types: Lecture, Self-Directed, Final Exam, Lec/Lab/Tut Combination, Laboratory

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Catalog Entries		2024 January Semester Sep 23, 2023