Bioinformatics

Focusing on an evolving and ever more popular field, this workbook provides the hands-on experience which has been lacking for qualified bioinformatics researchers. Instead of delving in depth, a broad but necessary overview is provided for each topic.

Bioinformatics is an evolving field that is gaining popularity due to genomics, proteomics and other high-throughput biological methods. The function of bioinformatic scientists includes biological data storage, retrieval and in silico analysis of the results from large-scale experiments. This requires a grasp of knowledge mining algorithms, a thorough understanding of biological knowledge base, and the logical relationship of entities that describe a process or the system. Bioinformatics researchers are required to be trained in multidisciplinary fields of biology, mathematics and computer science. Currently the requirements are satisfied by ad hoc researchers who have specific skills in biology or mathematics/computer science. But the learning curve is steep and the time required to communicate using domain specific terms is becoming a major bottle neck in scientific productivity. This workbook provides hands-on experience which has been lacking for qualified bioinformatics researchers.

Textbooks provide a practical introduction to bioinformatics and computer technologies Our book is a workbook which spends more time showing students techniques and applications, problems and solutions It is less theoretical, more practical and applied, and can be used as a companion to a more comprehensive text

Klappentext

Bioinformatics: A Concept-Based Introduction is provides a balance of information on computational methods and biological information. Instead of delving in depth, a broad but necessary overview is provided for each topic, resulting in content that will benefit readers with different levels of expertise.

This book contains contributions from experts in the field on emerging topics like Immunoinformatics, Genomics and Proteomics. It discusses real-world problems with Bioinformatics solutions, cites important URLs and contains selected chapter exercises to reinforce concepts.

Inhalt
to Biological Systems.- Computer Programming Fundamentals and Concepts.- to Algorithms.- Biological Sequence Databases.- Biological Sequence Search and Analysis.- Protein Structure Prediction.- Protein-Protein Interaction and Macromolecular Visualization.- Genes, Genomics, Microarray Methods, and Analysis.- to Proteomics.- Biomedical Literature Mining.- Computational Immunology: HLA-peptide Binding Prediction.- Bioinformatics Application: Eukaryotic Gene Count and Evolution.- Bioinformatics Application: Predicting Protein Subcellular Localization by Applying Machine Learning.- Bioinformatics Analysis: Gene Fusion.