COMPUTATIONAL BIOLOGY


 

Course Description

 

The ability to manipulate organisms genetically has been revolutionized in the last ten years. Biological information produced by this revolution is represented in many forms: sequence data, structural data, and functional data. These data can often be accessed and interpreted only with the help of computers. Data Mining is now an established tool for predicting structure and understanding function in genomics and proteomics.  It is becoming impossible for molecular biologists and biochemists to do research without the aid of computer based tools.  The advent of computational biology also offers new opportunities for those in chemistry, physics, mathematics and computer science. 

This course is intended for students in molecular biology, cell biology, microbiology, physiology, biochemistry, chemistry, physics, mathematics or computer science. It is an introduction to the concepts, and the principal data bases and algorithms, of bioinformatics and structural biology/chemistry. Although emphasis is placed on practical applications, an understanding of the mathematical basis of the algorithms, and their strengths and weaknesses - and the important principles of molecular biology and structural chemistry which they model, is important. This course should enable students to access and analyze sequence and structure data, create and edit images of molecules, and present results in web pages, CHIME and Power Point formats.

Prerequisites: Biology 201 or 203; CIS 110 or 217; Math 260 and 221. Exceptions by permission of the instructor.



 



 
Glossaries of Biotechnology and Genomics.   As with any technical field, biotechnology is replete with a terminology all its own.  These are some glossaries to terms you may not be familiar with.
 
Life Science Dictionary.
Online Biology Book Glossary.
Molecular Biology Glossary.
Glossary of IUPAC chemistry terms.
Nucleotide and Amino Acid abbreviations



Reference Sources on Molecular Biology, Genomics and Bioinformatics
 
Index of DOE primers
- Genomics 101: A Primer
- The Human Genome Project: 1990-2003
- Early Insights from the Human DNA Sequence
- Medicine and the New Genetics
- Other Anticipated Benefits of Genetic Research
- Societal Concerns Arising from the New Genetics
- Beyond the Human Genome Project -- What's Next?
- Genomes to Life: A DOE Systems Biology Program
- Genomes to Life: Putting Microbes to Work 
- Dictionary of Genetic Terms
A suite of primers from ORNL
(Oak Ridge National Laboratory)
A suite of primers from NCBI
(National Center for biotechnology Information)




TEXTS

Bioinformatics: Sequence and Genome Analysis, 2nd edition 
David W. Mount, Cold Spring Harbor Laboratory Press; 2004 
ISBN: 0879696877
Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins, 3rd edition 
Andreas D. Baxevanis (Editor), B. F. Francis Ouellette (Editor), Wiley-Interscience; 2004
ISBN: 0471478784 
Bioinformatics for Dummies, 1st edition
Jean-Michel Claverie, Cedric Notredame, Jean-Michel Claverie, 
Cedric Notredame, For Dummies;  2003
ISBN: 0764516965
Fundamental Concepts of Bioinformatics , 1st edition
Dan E. Krane, Michael L. Raymer , Benjamin Cummings; 2002
ISBN: 0805346333
Developing Bioinformatics Computer Skills
Cynthia Gibas, Per Jambeck, O'Reilly & Associates
ISBN: 1565926641
Discovering Genomics, Proteomics, and Bioinformatics 
A. Malcolm Campbell, Laurie J. Heyer , Benjamin Cummings; 2002
ISBN: 0805347224




Site Map for the Course