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MATH 6397: Stochastic Models in Biology

Course Meeting Times and Place: TuTh 10:00AM - 11:30AM - Room: PGH 350
Course ID: section# 30597
Office Hours: TTh 1 - 2

A full syllabus for the course is available here.
Information about the project.

Assignments

Date Assigned Date Due Type Assignment
 8/24 9/1 reading  Read Chapters 1 and 9 in Cleve Moler's book
 8/26 9/3
reading  Read Des Higham's article on Modeling Chemical Reactions
 8/26 9/3
programming
 You will find the description of a simple Matlab program simulating a random walk here. The programs are in the same directory.  
 9/1 9/8
programming
 You will find the description of a Matlab program simulating a simple birth process here.   The two html files will give you a nice description of the progralm, and the files are in the same directory.
9/3
9/10
reading
Here is some more information about birth processes from the book by Taylor and Karlin. Filling in the last character of each line on the pages on the odd pages is left as an exercise.
 9/3 9/10
programming
Here is an implementation of the bin method for generating Poisson spike trains and the perfect integrate and fire model.  
 9/3 9/10
programming
We talked last time about the distribution of states of the birth process X(t) at a fixed time t.  Here is a description of how to visualize this in different way - including some cool 3d visualization tricks.
 9/10 9/17
reading
Read Gillespie's article on modelling chemical reactions
 9/10 9/30
homework
First homework assignment.   To do  the first problem you will need to read this article.
 9/15 9/22
reading
Read this article on modeling gene regulatory networks.
9/22
9/29
reading
Learn about the Systems Biology Markup Language, and Systems Biology Graphical Notation by following these links. 
9/22
9/29
reading (optional)
You can learn more about the Gibson and Bruck algorithm we discussed in class here.
9/24
10/1
programming
The following is a chapter from Wilkinson's book.  He discussed the stochastic simulation of a number of biologically motivated models.  You should at least implement the dimerization and Michaelis-Menten reactions. 
9/29
10/8
reading
The following two articles discuss the application of generating functions to the study of network structure and transmission of diseases in structured populations.
First read the following introductory paper, and then read this one.  You will find both papers helpful in your next homework assignment.
9/29
10/8
programming
In this directory you will find an example of how to compute extinction times in a Lotka Volterra model.
10/6
10/29
homework
Second homework assignment.  For this assignment you will have to read the papers by Gardner et al. and Loinger et al.   You will find relevant pages from Wilkinson's book here.
10/8
10/15
reading
Please read Gillespie's paper on the slow scale stochastic simulation algorithm
10/8
10/15
reading
This article is a description of an alternative approach to the stochastic modelling of the lac operon.
10/13
10/20
reading
Read the following article by Scheffer, et al. about warning signs of a catastrophe.
11/3
11/10
programming/
reading
Read the following article by Desmond Higham.  Download the code that was used in the demonstrations, and make sure you understand it.
11/4
11/29
homework
Third homework assignment.  For this assignment you will have to read the papers by Higham, Scheffer, et al. and Renart, et al. (see above). 
11/3
11/10
reading
The following review article by Renart, et al. describes the derivation of the stochastic integrate and fire model.
11/17
11/24
reading
Read the following article on bistability and stochastic switching in gene networks.
11/19
12/1
reading
I gave only an outline of stochastic models in evolutionary theory.  A good book where you can read more is Sean Rice's Evolutionary Theory.

 

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Current Address: Department of Mathematics, PGH Building, University of Houston, Houston, Texas 77204-3008
Phone: (713) 743-3500 - Fax: (713) 743-3505


Image designed by Graham Johnson, Graham Johnson Medical Media, Boulder, Colorado