CS590M: Models and Algorithms in Life Sciences

Fall 05.
Tu, Th, 1:30 - 2:45 PM
REC 11x.

Homework 1 of CS590M is now available!

Homework 2 of CS590M is now available!

Some resources on genome assembly .. here and here and here and here>.

Some resources on clustering and classification .. here and here and here.

Some resources on sequence alignment .. here.

Course Contents:

Strings, sequences, trees and graphs, and how these concepts come up in life sciences.
Basic techniques for working with strings, sequences, and graphs, and application to life sciences problems yielding to this set of techniques.
Graph Algorithms.
Dynamic programming.

CS590V: Visualization and Numerical Methods in Life Sciences

Fall 05.
Tu, Th, 1:30 - 2:45 PM
REC 11x.

Course Announcements:
Important announcements relating to the course will be made here. Please look at this area of the web page periodically. Announcements will include (but are not limited to) release of assignments, erratas, and grades.

Homework 2 is now available! Here's the relevant reference URL.

Homework 1 is now available!

An excellent resource on differential equations in biological applications.

Some articles on computational modeling on CogNet.
A nice and simple introduction to solving ODEs

An SBML ODE Solver

A tutorial on solving ODEs uwing Matlab

PDEs in life sciences.

Markov Chains!

Course Contents:
CS590V, Visualization and Numerical Methods in Life Sciences deals with emerging trends in the use of visualization and numerical methods to analyze a wide variety of biological data. Topics of study include:

Scalar and vector fiends in life sciences.
Image acquisition methods: CAT, SPECT, PET, MRI.
Volume rendering, isosurfaces, flow visualization, information visualization.
Linear and differential equations in life sciences.
Tools and libraries for solving linear systems, eigenvalue and singular-value problems, as well as integration of differential equations.