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Developing Bioinformatics Computer Skillsby Cynthia Gibas
Synopses & Reviews
Bioinformatics--the application of computational and analytical methods to biological problems--is a rapidly evolving scientific discipline. Genome sequencing projects are producing vast amounts of biological data for many different organisms, and, increasingly, storing these data in public databases. Such biological databases are growing exponentially, along with the biological literature. It's impossible for even the most zealous researcher to stay on top of necessary information in the field without the aid of computer-based tools. Bioinformatics is all about building these tools.Developing Bioinformatics Computer Skills is for scientists and students who are learning computational approaches to biology for the first time, as well as for experienced biology researchers who are just starting to use computers to handle their data. The book covers the Unix file system, building tools and databases for bioinformatics, computational approaches to biological problems, an introduction to Perl for bioinformatics, data mining, and data visualization.Written in a clear, engaging style, Developing Bioinformatics Computer Skills will help biologists develop a structured approach to biological data as well as the tools they'll need to analyze the data.
Book News Annotation:
Examining the application of computational and analytical methods to biological problems, this guide for biologists, researchers, and students, offers a structured approach to biological data and computer tools for analyzing it. The book covers the Unix file system, the development of tools and databases, computational approaches to biological problems, the use of Perl, data mining, data visualization, and customizing data analysis software. Gibas teaches biology at Virginia Tech; Jambeck studies bioengeering at the University of California, San Diego.
Annotation c. Book News, Inc., Portland, OR (booknews.com)
The application of computational and analytical methods to biological problems is a rapidly evolving scientific discipline. This book is designed to help any biologist develop a structured approach to data, as well as provide the tools they'll need to analyze it.
This practical, hands-on guide shows how to develop a structured approach to biological data and the tools needed to analyze it. It's aimed at scientists and students learning computational approaches to biological data, as well as experienced biology researchers starting to use computers to handle data.
About the Author
Cynthia Gibas is an assistant professor of biology at Virginia Tech, in Blacksburg, Virginia. She's been a computational biologist since before computational biology was cool, and is currently learning to drive her spankin' new home-built Linux cluster. Her research interests include the structure and evolution of genomes, the properties of protein surfaces and interfaces, and prediction of protein structure. She teaches introductory courses in bioinformatics methods for biologists and is looking forward to her next real vacation, sometime in 2006.
Per Jambeck is a Ph.D. student in the bioengineering department at the University of California, San Diego. He has worked on computational biology problems since 1994, concentrating on machine learning applications in understanding multidimensional biological data. Per smiles wistfully at the mention of free time, but he manages to host shows at community and student-run radio stations anyway.
Table of Contents
Preface Introduction Chapter 1: Biology in the Computer Age Chapter 2: Computational Approaches to Biological Questions The Bioinformatics Workstation Chapter 3: Setting Up Your Workstation Chapter 4: Files and Directories in Unix Chapter 5: Working on a Unix System Tools for Bioinformatics Chapter 6: Biological Research on the Web Chapter 7: Sequence Analysis, Pairwise Alignment, and Database Searching Chapter 8: Multiple Sequence Alignments, Trees, and Profiles Chapter 9: Visualizing Protein Structures and Computing Structural Properties Chapter 10: Predicting Protein Structure and Function from Sequence Chapter 11: Tools for Genomics and Proteomics Databases and Visualization Chapter 12: Automating Data Analysis with Perl Chapter 13: Building Biological Databases Chapter 14: Visualization and Data Mining Bibliography Colophon
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Computers and Internet » Computers Reference » Bioinformatics