Probability in Bioinformatics and Genetics

CT Score

1500

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STAT 305 or STAT 310 or STAT 315 or DSCI 301 or STAT 331 or STAT 418 or STAT 518 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 423 . Mutually Exclusive: Cannot register for STAT 623 if student has credit for STAT 423→STAT 623→unlocks 1 courses

1 mapped course lists STAT 623 as a prerequisite. See on the map →

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