PROBABILITY IN BIOINFORMATICS AND GENETICS

Credit Hours: 3 · Graduate

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 .