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Developing Bioinformatics Computer Skills
Developing Bioinformatics Computer Skills
Author: Gibas, Cynthia / Jambeck, Per
Edition/Copyright: 2001
ISBN: 1-56592-664-1
Publisher: O'Reilly Media, Inc.
Type: Paperback
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Author Bio
Summary
Table of Contents
 
  Author Bio

Gibas, Cynthia : Virginia Tech

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.


Jambeck, Per :

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.

 
  Summary

Developing Bioinformatics Computer Skills will help biologists, researchers, and students develop a structured approach to biological data and the computer tools they'll need to analyze it. 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, data visualization, and tips for tailoring data analysis software to individual research needs.

 
  Table of Contents

Preface

I. Introduction

1. Biology in the Computer Age
How Is Computing Changing Biology?
Isn't Bioinformatics Just About Building Databases?
What Does Informatics Mean to Biologists?
What Challenges Does Biology Offer Computer Scientists?
What Skills Should a Bioinformatician Have?
Why Should Biologists Use Computers?
How Can I Configure a PC to Do Bioinformatics Research?
What Information and Software Are Available?
Can I Learn a Programming Language Without Classes?
How Can I Use Web Information?
How Do I Understand Sequence Alignment Data?
How Do I Write a Program to Align Two Biological Sequences?
How Do I Predict Protein Structure from Sequence?
What Questions Can Bioinformatics Answer?

2. Computational Approaches to Biological Questions
Molecular Biology's Central Dogma
What Biologists Model
Why Biologists Model
Computational Methods Covered in This Book
A Computational Biology Experiment

II. The Bioinformatics Workstation

3. Setting Up Your Workstation
Working on a Unix system
Setting Up a Linux Workstation
How to Get Software Working
What Software Is Needed?

4. Files and Directories in Unix
Filesystem Basics
Commands for Working with Directories and Files
Working in a Multiuser Environment

5. Working on a Unix System
The Unix Shell
Issuing Commands on a Unix System
Viewing and Editing Files
Transformations and Filters
File Statistics and Comparisons
The Language of Regular Expressions
Unix Shell Scripts
Communicating with Other Computers
Playing Nicely with Others in a Shared Environment

III. Tools for Bioinformatics

6. Biological Research on the Web
Using Search Engines
Finding Scientific Articles
The Public Biological Databases
Searching Biological Databases
Depositing Data into the Public Databases
Finding Software
Judging the Quality of Information

7. Sequence Analysis, Pairwise Alignment, and Database Searching
Chemical Composition of Biomolecules
Composition of DNA and RNA
Watson and Crick Solve the Structure of DNA
Development of DNA Sequencing Methods
Genefinders and Feature Detection in DNA
DNA Translation
Pairwise Sequence Comparison
Sequence Queries Against Biological Databases
Multifunctional Tools for Sequence Analysis

8. Multiple Sequence Alignments, Trees, and Profiles
The Morphological to the Molecular
Multiple Sequence Alignment
Phylogenetic Analysis
Profiles and Motifs

9. Visualizing Protein Structures and Computing Structural Properties
A Word About Protein Structure Data
The Chemistry of Proteins
Web-Based Protein Structure Tools
Structure Visualization
Structure Classification
Structural Alignment
Structure Analysis
Solvent Accessibility and Interactions
Computing Physicochemical Properties
Structure Optimization
Protein Resource Databases
Putting It All Together

10. Predicting Protein Structure and Function from Sequence
Determining the Structures of Proteins
Predicting the Structures of Proteins
From 3D to 1D
Feature Detection in Protein Sequences
Secondary Structure Prediction
Predicting 3D Structure
Putting It All Together: A Protein Modeling Project
Summary

11. Tools for Genomics and Proteomics
From Sequencing Genes to Sequencing Genomes
Sequence Assembly
Accessing Genome Informationon the Web
Annotating and Analyzing Whole Genome Sequences
Functional Genomics: New Data Analysis Challenges
Proteomics
Biochemical Pathway Databases
Modeling Kinetics and Physiology
Summary

IV. Databases and Visualization

12. Automating Data Analysis with Perl
Why Perl?
Perl Basics
Pattern Matching and Regular Expressions
Parsing BLAST Output Using Perl
Applying Perl to Bioinformatics

13. Building Biological Databases
Types of Databases
Database Software
Introduction to SQL
Installing the MySQL DBMS
Database Design
Developing Web-Based Software That Interacts with Databases

14. Visualization and Data Mining
Preparing Your Data
Viewing Graphics
Sequence Data Visualization
Networks and Pathway Visualization
Working with Numerical Data
Visualization: Summary
Data Mining and Biological Information

Bibliography
Index

 

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