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Detailed Course Information


Nov 15, 2019
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CSC 315 - Bioinformatics Prog & Analysis
Bioinformatics Programming and Analysis
Pre- or Co-requisites: CSC 210

Bioinformatics is an interdisciplinary science that involves the development and use of computational and statistical tools to store and analyze large biological datasets such as genomic sequences and gene expression profiles. This course will cover core concepts in biology, statistics, and programming as related to the analysis of genomic data, with a focus on gene expression data. Students will gain proficiency in (1) programming in R, a statistical computing language, (2) statistical analyses using R and related theory, and (3) the analysis of gene expression data including data processing, identification of differentially expressed genes, clustering, and predictive modeling. The analysis of sequencing data will also be discussed.

3.000 Credit hours
3.000 Lecture hours

Levels: Undergraduate
Schedule Types: Lecture

Computer Science Department

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