Bioinformatics

著者

    • Baxevanis, Andreas D.
    • Bader, Gary D.
    • Wishart, David S.

書誌事項

Bioinformatics

edited by Andreas D. Baxevanis, Gary D. Bader, and David S. Wishart

Wiley, 2020

4th ed

  • : hbk

大学図書館所蔵 件 / 15

この図書・雑誌をさがす

注記

Includes bibliographical references and index

内容説明・目次

内容説明

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.

目次

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

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