Applied Bioinformatics
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Applied Bioinformatics
This book introduces readers to the basic principles of bioinformatics and the practical application and utilization of computational tools, without assuming any prior background in programming or informatics. It provides a coherent overview of the complex field and focuses on the implementation of online tools, genome databases and software that can benefit scientists and students in the life sciences. Training tutorials with practical bioinformatics exercises and solutions facilitate the understanding and application of such tools and interpretation of results. In addition, a glossary explains terminology that is widely used in the field. This straightforward introduction to applied bioinformatics offers an essential resource for students, as well as scientists seeking to understand the basis of sequencing analysis, functional genomics and protein structure predictions.
Applied Bioinformatics
Author: Paul Maria Selzer
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-01-18
At last, here is a baseline book for anyone who is confused by cryptic computer programs, algorithms and formulae, but wants to learn about applied bioinformatics. Now, anyone who can operate a PC, standard software and the internet can also learn to understand the biological basis of bioinformatics, of the existence as well as the source and availability of bioinformatics software, and how to apply these tools and interpret results with confidence. This process is aided by chapters that introduce important aspects of bioinformatics, detailed bioinformatics exercises (including solutions), and to cap it all, a glossary of definitions and terminology relating to bioinformatics.
Pharmacogenomics
Reflecting the shift from genetics to genomics in the pharmaceutical sphere, this Second Edition traces the evolution of the science of pharmacogenetics and gathers research from the forefront of the field-spanning the most influential breakthroughs in molecular diagnostics, metabonomics, proteomics, bioinformatics, disease mapping, pharmacodynamic