SyllabusSpring 2005Course: Statistics 892, Statistical Methods in BioinformaticsInstructor: Steve KachmanOffice: 104 D Miller HallPhone: 472-2903Office Hours: MWF 2:00-3:00 and by appointmentText Book: Statistical Methods in Bioinformatics: An Introduction, Ewens and GrantPrerequisites: Probability and DistributionsCalculusStatistical MethodsSASHomework: Approximately once every other week20% will be deducted for each day late.Exams: Two exams, will be announced at least one week in advanceFinal Exam: Monday, May 2 10:00-NoonRevise travel plans accordingly.Conflicts: Expected to take exams at the scheduled timeIf an exam conflicts with an activity vital to your program,please have your major advisor contact me well in advance.I should be notified as soon as possible of any potential conflicts.Grading: Exams 200 ptsFinal 150 ptsHomework and Quizes 100 ptsGrading will be on a straight 90, 80, 70, 60 percent basis.Available at http://blackboard.unl.edu/Web page: http://statistics.unl.edu/faculty/steve/bioinformatics/2005/1The objective of this course is to provide students with anunderstanding of statistical methods used in bioinformatics.Bioinformatics is a very broad term and we will focus on issuesrelated to DNA and protein sequence analysis.Outline• Chapter 5: Analysis of One DNA Sequence• Chapter 6: Analysis of Multiple DNA or Protein Sequences• Chapter 7: Random Walks• Chapter 8: Classical Estimation and Hypothesis Testing• Chapter 9: BLAST• Chapter 10: Markov Chains• Chapter 11: Hidden Markov Models• Chapter 13: Evolutionary Models• Chapter 14: Phylogenic Tree