Paul M. Selzer, Richard J. Marhöfer, Oliver Koch

Applied Bioinformatics (eBook, PDF)

An Introduction

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer-Verlag GmbH
• Seitenzahl: 183
• Erscheinungstermin: 2. Mai 2018
• Englisch
• ISBN-13: 9783319683010
• Artikelnr.: 52936306

Autorenporträt

Paul M. Selzer works as a researcher and scientific manager at Boehringer Ingelheim Animal Health, Germany. He is also a visiting professor at the Interfaculty Institute of Biochemistry of the University of Tübingen, Germany and an honorary professor at the department of Infection, Immunity, and Inflammation at the University of Glasgow, Scotland.

Richard J. Marhöfer is responsible for computational chemistry and computational biology at MSD Animal Health, Germany.

Oliver Koch is an independent group leader for medicinal chemistry at the technical University in Dortmund, Germany.

Inhaltsangabe

The Biological Foundations of Bioinformatics.- Biological databases.- Sequence Comparisons and Sequence-Based Database Searches.- The decoding of eukaryotic genomes.- Protein Structures and Structure-Based Rational Drug Design.- The Functional Analysis of Genomes.- Comparative genome analyses.