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Bioinformatics 4th edition [Kietas viršelis]

3.63/5 (19 ratings by Goodreads)
Edited by (National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA), Edited by (University of Alberta, Edmonton, AB, Canada), Edited by (University of Toronto, Toronto, ON, Canada)
  • Formatas: Hardback, 656 pages, aukštis x plotis x storis: 282x224x31 mm, weight: 1837 g
  • Išleidimo metai: 22-Apr-2020
  • Leidėjas: John Wiley & Sons Inc
  • ISBN-10: 1119335582
  • ISBN-13: 9781119335580
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 656 pages, aukštis x plotis x storis: 282x224x31 mm, weight: 1837 g
  • Išleidimo metai: 22-Apr-2020
  • Leidėjas: John Wiley & Sons Inc
  • ISBN-10: 1119335582
  • ISBN-13: 9781119335580
Kitos knygos pagal šią temą:

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 Biology

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.

Foreword vii
Preface be Contributors xi
About the Companion Website xvii
1 Biological Sequence Databases
1(18)
Andreas D. Baxevanis
2 Information Retrieval from Biological Databases
19(26)
Andreas D. Baxevanis
3 Assessing Pairwise Sequence Similarity: BLAST and FASTA
45(34)
Andreas D. Baxevanis
4 Genome Browsers
79(38)
Tyra G. Wolfsberg
5 Genome Annotation
117(38)
David S. Wishart
6 Predictive Methods Using RNA Sequences
155(30)
Michael F. Sloma
Michael Zuker
David H. Mathews
7 Predictive Methods Using Protein Sequences
185(42)
Jonas Reeb
Tatyana Goldberg
Yanay Ofran
Burkhard Rost
8 Multiple Sequence Alignments
227(24)
Fabian Sievers
Geoffrey J. Barton
Desmond G. Higgins
9 Molecular Evolution and Phylogenetic Analysis
251(28)
Emma J. Griffiths
Fiona S.L. Brinkman
10 Expression Analysis
279(36)
Marieke L. Kuijjer
Joseph N. Paulson
John Ouackenbush
11 Proteomics and Protein Identification by Mass Spectrometry
315(48)
Sadhna Phanse
Andrew Emili
12 Protein Structure Prediction and Analysis
363(36)
David S. Wishart
13 Biological Networks and Pathways
399(38)
Gary D. Bader
14 Metabolomics
437(44)
David S. Wishart
15 Population Genetics
481(24)
Lynn B. Jorde
W. Scott Watkins
16 Metagenomics and Microbial Community Analysis
505(32)
Robert G. Beiko
17 Translational Bioinformatics
537(18)
Sean D. Mooney
Stephen J. Mooney
18 Statistical Methods for Biologists
555(28)
Hunter N.B. Moseley
Appendices 583(8)
Glossary 591(18)
Index 609
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.