Bioinformatics 4/e
內容簡介
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
1. Biological Sequence Databases
2. Information Retrieval from Biological Databases
3. Assessing Pairwise Sequence Similarity: BLAST and FASTA
4. Genome Browsers
5. Genome Annotation
6. Predictive Methods Using RNA Sequences
7. Predictive Methods Using Protein Sequences
8. Multiple Sequence Alignments
9. Molecular Evolution and Phylogenetic Analysis
10. Expression Analysis
11. Proteomics and Protein Identification by Mass Spectrometry
12. Protein Structure Prediction and Analysis
13. Biological Networks and Pathways
14. Metabolomics
15. Population Genetics
16. Metagenomics and Microbial Community Analysis
17. Translational Bioinformatics
18. Statistical Methods for Biologists
Appendices
Glossary
Index
