Data Analysis And Classification for Bioinformatics

With the explosion of sequence data in public and private databases and the coming explosion of gene expression data in a similar vein, it is becoming increasingly important to understand how to apply well-established data analysis and data classification methods that have been developed in other fields to this field---to try to make sense of the data, to glean biological insights from it, to categorize the data, and to put all of these to good use in industrial applications. This book introduces the main methods of data analysis and of data classification--as applied to sequence and gene expression analysis--to the biologist and to the computer scientist in this field. It contains material that is presently being taught by the author in the course Data Analysis, Modeling, and Visualization for Bioinformatics at the University of California, Santa Cruz Extension to workers in the biotechnology industry in Silicon Valley.

The author is a PhD in computer science from The State University of New York at Buffalo. He teaches courses in bioinformatics at the University of California, Santa Cruz extension, and courses in computer science at the University of California, Santa Cruz, at Santa Clara University, and at San Jose State University. He has been a visiting faculty member at University of Memphis and at The University of North Texas and an affiliated faculty member at the University of California, Santa Cruz.