CS/BIO 471/671: Algorithms for Bioinformatics

Theory-oriented approach to the application of contemporary algorithms to bioinformatics. Graph theory, complexity theory, dynamic programming and optimization techniques are introduced in the context of application toward solving specific computational problems in molecular genetics

CEG 320/520-01: Computer Organization and Assembly Language Programming

[4 credit hours] Terminology and understanding of functional organizations and sequential operation of a digital computer. Program structure, and machine and assembly language topics including addressing, stacks, argument passing, arithmetic operations, traps and input/output. Macros, modularization, linkers and debuggers are used. Prerequisite: CEG 260, CS 242

CS 790: Evolutionary Computation in Bioinformatics

This course will provide a guided investigation into advanced computational techniques in bioinformatics, especially techniques involving evolutionary computation. The first few weeks will consists of guided in-class discussions reviewing the basic principles of bioinformatics and evolutionary computation. During weeks 3 -6 students will present tutorials on advanced computational topics (see the list of suggested topic areas below). During weeks 7 -10, the students will present papers from the literature in which topics covered in the tutorials have been applied to specific problems in bioinformatics. The class will discuss the quality and findings of these papers

CS/BIO 471/671: Algorithms for Bioinformatics

Theory-oriented approach to the application of contemporary algorithms to bioinformatics. Graph theory, complexity theory, dynamic programming and optimization techniques are introduced in the context of application toward solving specific computational problems in molecular genetics

Searching Sequence Databases

Presentation prepared for BIO/CS 471: Algorithms for Bioinformatics. The lecture comprises material from the text Fundamental Concepts of Bioinformatics

CS 271/BIO 371: Introduction to Bioinformatics

The course web page will be the primary method for distributing important announcements, course material, class notes, etc. Please check the page often. Login to the campus WebCT system using your cats username and password. The URL is: http://wisdom.wright.ed