John Wiley & Sons Bioinformatics Cover Praise for the third edition of Bioinformatics "This book is a gem to read and use in practice." --.. Product #: 978-1-119-33558-0 Regular price: $120.56 $120.56 In Stock

Bioinformatics

Baxevanis, Andreas D. / Bader, Gary D. / Wishart, David S. (Editor)

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4. Edition April 2020
656 Pages, Hardcover
Wiley & Sons Ltd

ISBN: 978-1-119-33558-0
John Wiley & Sons

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Praise for the third edition of Bioinformatics

"This book is a gem to read and use in practice."
--Briefings in Bioinformatics

"This volume has a distinctive, special value as it offers an unrivalled level of details and unique expert insights from the leading computational biologists, including the very creators of popular bioinformatics tools."
--ChemBioChem

"A valuable survey of this fascinating field. . . I found it to be the most useful book on bioinformatics that I have seen and recommend it very highly."
--American Society for Microbiology News

"This should be on the bookshelf of every molecular biologist."
--The Quarterly Review of Biolog"

The field of bioinformatics is advancing at a remarkable rate. With the development of new analytical techniques that make use of the latest advances in machine learning and data science, today's biologists are gaining fantastic new insights into the natural world's most complex systems. These rapidly progressing innovations can, however, be difficult to keep pace with.

The expanded fourth edition of the best-selling Bioinformatics aims to remedy this by providing students and professionals alike with a comprehensive survey of the current field. Revised to reflect recent advances in computational biology, it offers practical instruction on the gathering, analysis, and interpretation of data, as well as explanations of the most powerful algorithms presently used for biological discovery. Bioinformatics, Fourth Edition offers the most readable, up-to-date, and thorough introduction to the field for biologists at all levels, covering both key concepts that have stood the test of time and the new and important developments driving this fast-moving discipline forwards.

This new edition features:

* New chapters on metabolomics, population genetics, metagenomics and microbial community analysis, and translational bioinformatics

* A thorough treatment of statistical methods as applied to biological data

* Special topic boxes and appendices highlighting experimental strategies and advanced concepts

* Annotated reference lists, comprehensive lists of relevant web resources, and an extensive glossary of commonly used terms in bioinformatics, genomics, and proteomics

Bioinformatics is an indispensable companion for researchers, instructors, and students of all levels in molecular biology and computational biology, as well as investigators involved in genomics, clinical research, proteomics, and related fields.

Preface.

Contributors.

Section 1: Foundational Technologies

1.
Foundational Technologies for Nucleotides\

2.
Foundational Technologies for Proteins

3.
Statistical Methods for Biologists

4.
Basic Programming in Perl (Also Python?)

Section 2: Biological Databases

5.
Sequence Databases

6.
Integrated Information Retrieval

7.
Genomic Databases and Genome Browsers

Section 3: Analysis at the Sequence Level

8.
BLAST/FASTA

9.
Predictive Methods using DNA Sequences

10.
Predictive Methods using RNA Sequences

11.
Predictive Methods using Protein Sequences

12. Multiple
Sequence Alignment

13.
Phylogenetic Analysis

14.
Comparative Genomics

15. Sequence
Assembly

16. Genome
Annotation

Section 4: Inferring Relationships

17.
Protein Structure Analysis

18.
Proteomics/Protein Identification

19.
Protein-Protein Interactions

20. Gene and
Protein Networks

21.
Expression Analysis

22.
Metabolomics

23. Systems
Biology

24. Cell
Simulation (advanced topic)

Section 5: (Translational Bioinformatics? Working title
only)

25.
Epigenetics and Non-Coding Regions

26.
Population Genetics

27.
Genome-Wide Association Studies

28.
Metagenomics

29. Genomic
Medicine

Appendices.

Glossary. Index.
EDITED BY

ANDREAS D. BAXEVANIS, PhD, Director of Computational Biology for the National Institutes of Health's Intramural Research Program and a Senior Scientist leading the Computational Genomics Unit at the NIH's National Human Genome Research Institute, Bethesda, MD, USA.

GARY D. BADER, PhD, Ontario Research Chair in Biomarkers of Disease and Professor at the Donnelly Centre and the Departments of Molecular Genetics and Computer Science at the University of Toronto, Toronto, ON, Canada.

DAVID S. WISHART, PhD, Distinguished University Professor in the Departments of Biological Sciences and Computing Science at the University of Alberta, Edmonton, AB, Canada.

A. D. Baxevanis, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA; G. Bader, University of Toronto, Toronto, ON, Canada; D. Wishart, University of Alberta, Edmonton, AB, Canada