Computational Molecular Biology

Biochemistry 218 - BioMedical Informatics 231

Doug Brutlag, Rhiju Das, Gavin Sherlock, Mike Snyder, and Peter Karp

Spring Quarter 2012-2013

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 analysis of genomes, sequences and structures. 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. All homework and coursework will 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 Requirements

There will be several 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 to homework218@cmgm.stanford.edu. A final paper will be required for the course that critically and constructively analyzes any area of computational molecular biology, bioinformatics or genomics. 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 Friday evening June 7, 2013, at midnight. There will be no extensions of this deadline.

Examples of Previous Final Projects

The course will be available online only in the Spring Quarter.

Registration

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.

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. . Doug Brutlag (brutlag@stanford.edu) is the Administrator for the course. You should contact him for all administrative needs such as registration priority, web page problems, student status, etc.

Lecture Syllabus

Date

Topic

Lecturer

Videos

Slides

April 2

Genomics, Bioinformatics and Molecular Biology

Doug Brutlag

Video

Slides

April 4

Systematic Literature Search

Doug Brutlag

Video

Slides

April 9

Human Genome Project

Doug Brutlag

Video

Slides

April 11

Genome and Sequence Databases

Doug Brutlag

Video

Slides

April 16

Protein Sequence and Motif Databases

Doug Brutlag

Video

Slides

April 18

Sequence Alignment

Doug Brutlag

Video

Slides

April 23

Sequence Similarity Search

Doug Brutlag

Video

Slides

April 25

Multiple Sequence Alignment

Doug Brutlag

Video

Slides

April 30

Distance based Phylogenies

Doug Brutlag

Video

Slides

May 2

Building Protein Motifs and Models

Doug Brutlag

Video

Slides

May 7

Ab initio Protein Structure Prediction

Rhiju Das

Video

Slides

May 9

Clustering  Coordinately Regulated Genes

Gavin Sherlock

Video

Slides

May 14

Discovering Gene Regulatory Signals

Doug Brutlag

Video

Slides

May 16

Gene Regulatory Modules and Networks

Doug Brutlag

Video

Slides

May 21

MicroRNA Regulatory Networks

Doug Brutlag

Video

Slides

May 23

Simple Nucleotide Polymorphisms (SNPs)

Doug Brutlag

Video

Slides

May 28

Genome Variations

Mike Snyder

Video

Slides

May 30

Genome-Wide Association Studies

Doug Brutlag

Video

Slides

June 4

Metabolic Pathways and Analyses I

Peter Karp

Video

Slides

June 6

Metabolic Pathways and Analyses II

Peter Karp

Video

Slides

The video links in this table let you download quicktime videos of the lectures. Please right click on Video link and dowload the videos before viewing. You should also download the PDF file containing the slides by right clicking on the Slides link. You should have both files (Video and Slides) open when you watch the class video. The Video presents the video and audio, the Slide PDF gives you a high resolution version of the slides which are sometimes difficult to see in the video. Also, the URL links on the PDF file are all active so you can follow along the lecture more easily.

If you have a fast Intenet connection you may watch streaming videos from the SCPD site given below. This site requires a Stanford ID. Again, it is very useful to have the Slide PDF open in a separate window while you watch.

You may also download the course videos on the EdTech Server Web site (SUNET ID Required).

You may watch streaming videos on the SCPD Web site (SUNET ID Required). The SCPD Videos run on both Windows and Macs but require Flip4Mac media components to be viewed on a Macintosh).

Homework Assignments

Number
Date Assigned
Homework
Date Due
1
April 2 Introduction and short resumé April 9
2
April 11 Human Gene Analysis April 18
3
April 18 Protein Functional Analysis April 25
4
April 25 Sequence Alignment and Search May 2
5
May 2 UPGMA and Neighbor Joining Phylogenies May 9
6
May 9 BLAST, PSI-BLAST and HMM Protein Families May 16
7
April 2 Final Project for course (see Course Requirements above) June 7

The homework must be submitted as an attachment to an email addressed to homework218@cmgm.stanford.edu by midnight (Pacific Time) of the evening of the due date in order to get full credit. If you are late, you will lose 1 point (10%) for each day late. If you have a valid reason for being late (illness, conference, death in family etc.) and let us know ahead of time we can arrange a later due date for you. Please submit your homework in any of the following formats: Word, text, PDF, postscript or HTML document. Please put all copied material in quotes with a full URL or bibliographic reference to the source. Failure to quote and reference copied material is considered plagiarism and is a violation of the Stanford Honor Code. If you do not get 100% correct on an assignment you will given a description of what you did wrong and you will then have one week to submit a revised homework for full credit

 

 

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** Last Updated March 18, 2013**

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