Probability in Bioinformatics and Genetics

CT Score

1500

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STAT 310 or ECON 307 or STAT 315 or DSCI 301 or STAT 312 or STAT 418 Description: Course introduces the student to modern biotechnology and genomic data. Statistical methods to analyze genomic data are covered, including probability models, basic stochastic processes, and statistical modeling. Biological topics include DNA sequence analysis, phylogenetic inference, gene finding, and molecular evolution. A weekly 1-hour lab on computational aspects of the course will cover software and practice of bioinformatics and computational biology, including modern data sets. Graduate/Undergraduate Equivalency: STAT 623 . Mutually Exclusive: Cannot register for STAT 423 if student has credit for STAT 623→STAT 423→unlocks 1 courses

1 mapped course lists STAT 423 as a prerequisite. See on the map →

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