Objective

The objective of this course is to provide students with an understanding of statistical methods used in bioinformatics. Bioinformatics is a very broad term and we will focus on issues related to DNA and protein sequence analysis.

Course Info

Instructor:	Steve Kachman
E-mail:	skachman@unl.edu
Office:	354B Hardin Center
Phone:	472-2903
Office Hours:	MWF 2:00-3:00 and by appointment
Text Book:	Statistical Methods in Bioinformatics: An Introduction, Ewens and Grant
Syllabus:	Course Syllabus
	To view the Course Syllabus click on Course Syllabus . If Acrobat Reader is not installed on your computer click on .
Prerequisites:	Probability and Distributions Calculus Statistical Methods SAS
Homework:	Approximately every other week 20% will be deducted for each day late.
Exams:	Two exams, will be announced at least one week in advance
	First exam: Second exam:
Final Exam:	Monday, May 2 10:00-Noon Revise travel plans accordingly.
Check Grades:	Blackboard Course Info

Support Material

• National Center for Biotechnology Information
• WU-BLAST2 at the European Bioinformatics Institute
• GENSCAN Web Server at MIT