Computational Molecular Biology
Doug Brutlag
Course Description
Computational Molecular Biology (Biochem 218) is a practical, hands-on approach to the field of computational molecular biology. The course is recommended for both molecular biologists and computer scientists desiring to understand the major issues concerning representation and analysis of genomes, sequences and proteins. Various existing methods will be critically described and the strengths and limitations of each will be discussed. There will be practical assignments utilizing the tools described. While no computer experience or programming skills are required, prior exposure to personal computers, e-mail, and the Internet are essential. All homework and coursework must be submitted electronically. Prerequisites include an introductory molecular biology course at the level of Biology 41 or permission of the instructor. Students who have not had a course in molecular biology may acquire the necessary background by reading either Stryer's Biochemistry (5th edition by Berg, Tymoczko and Stryer) or Lewin's Genes IX.
Course Requirement
There will be 7 homework assignments utilizing the tools described in the lectures. All homework and final projects will be submitted in electronic form, as e-mail or e-mail attachments. A final paper will be required for the course that critically and constructively analyzes one of the areas presented in the course. The final project may also present a novel application of existing tools or the development of some new or improved method. The final projects will be due Sunday, December 13, at midnight. There will be no extensions of this deadline. The homework will count for 35% of the final grade and the project will count for 65%.Examples of Previous Final Projects
The course will be available online only during the Academic year 2009-2010, via the SCPD web site. The course will be available online during the Autumn and Spring Quarters and will be available live in the Winter Quarter.
Academic Year 2009-2010
Registration
Registration is limited to 50 students. On campus students must register with the registrar via AXESS. Off campus students must register with the Stanford Center for Professional Development.Students receiving a grade of B or better in this course may use this grade as partial completion towards the Stanford Bioinformatics Certificate program.Auditors
Anyone on Stanford Campus or participating in Stanford Overseas Campus may audit the lectures on the Internet via Stanford Online during a quarter this course is being taught. All lectures are recorded and made available via streaming video (see below for instructions). There is no limit on the number of auditors. Stanford Online lectures are available 24 hours a day, 7 days a week. The only requirement is that the auditors must have a valid SUNET ID in order to view the lecture. Auditors will also be permitted to attend the classes as long as there are seats available. No homework will be permitted and no grade will be awarded for auditors.Teaching Assistants and Staff
Dan Davison (davisond@stanford.edu) is the teaching assistant for the course and will answer questions about the homework and course content. Lee Kozar (kozar@stanford.edu) is the Director of the Bioinformatics Resource at Stanford and is in charge of the computing facilities including software and databases that will be used for the homework. Questions concerning the programs, databases and other computing resources used in the course should be addressed to him. Kimberley Latta (klatta@stanford.edu) is the Administrator for the course. You should contact her for all administrative needs such as registration priority, web page problems, student status, etc.Lecture Syllabus
(These videos require QuickTime and will run on both Windows and Macs)
| Topic |
Lecturer |
Video | Slides |
|
|---|---|---|---|---|
| Sept. 22 | ||||
| Sept. 24 | ||||
Sept. 29 |
||||
Oct. 1 |
||||
Oct. 6 |
||||
Oct. 8 |
||||
Oct. 13 |
||||
Oct. 15 |
||||
Oct. 20 |
||||
Oct. 22 |
||||
Oct. 27 |
||||
Oct. 29 |
||||
Nov. 3 |
||||
Nov. 5 |
||||
Nov. 10 |
Clustering and Functional Analysis of Coordinately Regulated Genes |
|||
Nov. 12 |
||||
Nov. 17 |
||||
Nov. 19 |
Homework Assignments
Number |
Date Assigned | Homework | Date Due |
1 |
September 22 | Introduction and short resumé | September 29 |
2 |
October 1 | Accessing molecular biology databases | October 8 |
3 |
October 8 | Sequence motif scanning for functional analysis | October 15 |
4 |
October 15 | Adjusting alignment parameters | October 22 |
5 |
October 22 | Sensitivity/specificity analysis of sequence similarity search | October 29 |
6 |
October 29 | Comparison of phylogenetic methods | November 5 |
7 |
November 5 | Building protein families and sequence motifs | November 12 |
| September 22 | Final Project | December 13 |
You may also access videos on the SCPD Web site
(The SCPD Videos run on both Windows and Macs but require
Flip4Mac media components to be viewed on a Macintosh)
Tutorials
|
Topic |
Lecturer |
|---|---|
Progressive Pairwise Alignment Algorithm and Its Use by the SeqWeb BestFit Program |
|
|
Phylogenetic Analysis - Intro to Distance Methods to Study Evolutionary Relationships |
Lee Kozar |
Bioinformatics Week Videos
https://cmgm.stanford.edu/classes/EBI-NCBI/videos/
Bioinformatics Resource Courses
http://cmgm.stanford.edu/classes/
** Last Updated June 11, 2009**
