Biostatistics & Medical Informatics 776
Computer Sciences 776
Advanced Bioinformatics (Spring 2004)


General Course Information

DNA
  • Instructor: Thomas Anantharaman
    tsa@biostat.wisc.edu
    Office: 6720 Medical Sciences Center
    Phone: 608-3470637
    Office Hours: 4pm-5pm Tuesday and Thursday, or by appointment (Cancelled 3/29/05)\

  • TA: Lidan Wang
    lidan@biostat.wisc.edu
    Office: 6763 Medical Sciences Center
    Office Hours: 4pm-5pm Monday, 2-3pm Wednesday and Friday

    (Cancelled Feb 1-14)

  • Meeting Time and Location: 1:00pm-2:15pm Tuesday and Thursday
    3534 Engineering Hall

    Note: On 4/14 the class meets at 1325 Computer Science!

  • Course Mail Archive

  • Readings:

  • Midterm Exam: 1:00 PM, March 17, In Class
  • Final Exam: 2:45 PM, Sunday, May 8, 2005, LOCATION: AGR ENG 101


Course Overview

This course (BMI-776) is the 2nd part of a two course series. Part 1 is BMI-576 tought by Mark Craven in the Fall Semester. His numerous contributions in developing this two course series and many of the lecture notes for BMI-776 are gratefully acknowledged. BMI-576 is a pre-requisite for BMI-776, and the following course description applies to both BMI-576 and BMI-776:

The biological sciences are undergoing a revolution in how they are practiced. In the last decade, a vast amount of data (DNA sequences, protein sequences, etc.) has become available, and computational methods are playing a fundamental role in transforming this data into scientific understanding.

Bioinformatics (Also called Computational Biology or Computational Molecular Biology) involves developing and applying computational methods for managing and analyzing information about the sequence, structure and function of biological molecules and systems.

The goals of this two-course series are to provide an understanding of:


BMI-776 Spring 2003 course web page
BMI-776 Spring 2004 course web page


Course Requirements

The grading for the course will be be based on: The primary focus of the homework assignments will be programming and experimenting with various algorithms discussed in class. Some homework assignments may also involve written exercises.


Syllabus, Readings and Lecture Notes


Homework Assignments

Grades Late Policy on Homeworks:

Sample Exams

Academic Misconduct:
All examinations, programming assignments, and written homeworks must be done individually. Cheating and plagiarism will be dealt with in accordance with University procedures (see the Academic Misconduct Guide for Students). Hence, for example, code for programming assignments must not be developed in groups, nor should code be shared. You are encouraged to discuss with your peers, the TAs or the instructor ideas, approaches and techniques broadly, but not at a level of detail where specific implementation issues are described by anyone. If you have any questions on this, please ask the instructor before you act.


Last modified: Nov 11, 2004