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Bioinformatics

An Introduction

  • Textbook
  • © 2015

Overview

  • Provides a comprehensive, self-contained introduction to the field of bioinformatics and state-of-the-art research
  • Thoroughly updated and enhanced third edition offers additional chapters on the nervous system and ecosystems management, plus many expanded sections
  • Brings together the multiple disciplines necessary for a profound grasp of the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Computational Biology (COBO, volume 21)

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Table of contents (22 chapters)

  1. Information

  2. Biology

  3. Applications

Keywords

About this book

This comprehensive textbook presents a self-contained guide to bioinformatics, defined in its broadest sense as the application of information science to biology. Thoroughly updated and greatly expanded, this third edition now includes material on the growing array of “-omics”; covering metagenomics, toxicogenomics, glycomics, lipidomics, microbiomics and phenomics. New chapters have also been added on ecosystems management and the nervous system. Emphasis is placed on providing both a firm grounding in the core concepts and a clear overview of the complete field of bioinformatics. 

Features: explains the fundamentals of information science relevant to biology; covers both organismal (ontogeny and phylogeny, as well as genome structure) and molecular aspects; examines the most important practical applications of bioinformatics, providing detailed descriptions of both the experimental process and the data analysis; provides a varied selection of problems throughout the book, to stimulate further thinking.

Reviews

“The book gives short introductions to many topics, providing an overview of the field and leading readers to pursue specific areas as necessary. It can serve as an excellent supplement to a textbook used in bioinformatics or computational biology courses. The audience is advanced students with backgrounds in fields associated with bioinformatics, such as genetics, biostatistics, and computer science. Summing Up: Recommended. Upper-division undergraduates and graduate students.” (M. C. Pavao, Choice, Vol. 53 (11), July, 2016)

Authors and Affiliations

  • The University of Buckingham, United Kingdom

    Jeremy Ramsden

About the author

Dr. Jeremy Ramsden is a Professor of Nanotechnology in the Clore Laboratory at the University of Buckingham, UK.

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