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Bioinformatics: Sequence and Genome Analysis, Second Edition (Mount, Bioinformatics)
90% of respondents would recommend this to a friend
TWD 2225
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The second edition of this widely praised textbook provides a comprehensive and critical examination of the computational methods needed for analyzing DNA, RNA, and protein data, as well as genomes.
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產品詳情
| Publisher | Cold Spring Harbor Laboratory Press |
| Publication date | August 16, 2004 |
| Edition | Revised ed. |
| Language | English |
| Print length | 665 pages |
| ISBN-10 | 0879697121 |
| ISBN-13 | 978-0879697129 |
| Item Weight | 4.4 pounds (2 kg) |
| Dimensions | 8.52 x 1.33 x 11.1 inches (21.6 x 3.4 x 28.2 cm) |
Who Should Buy?
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Students in Bioinformatics
Ideal for undergraduate and graduate students seeking a comprehensive introduction to sequence and genome analysis techniques.
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Professional Researchers
Useful for researchers in genetics or genomics wanting to enhance their data analysis skills with practical applications.
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Biomedical Engineers
Beneficial for engineers focusing on applications in medicine who need foundational knowledge in bioinformatics methodologies.
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Beginners in Biology
Not suitable for complete beginners lacking basic biological and computational knowledge, as it assumes prior expertise.
產品描述
Bioinformatics: Sequence and Genome Analysis, Second Edition (Mount, Bioinformatics)
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Molecular Biology Editorial Review
Customers have highly praised the 2nd Edition of Bioinformatics: Sequence and Genome Analysis. The book covers a wide range of topics and provides a comprehensive introduction to the field of bioinformatics. The authors have done an excellent job of explaining complex concepts and techniques in a clear and concise manner. The book also includes numerous examples and case studies, which help in understanding the practical applications of bioinformatics. Overall, customers find this book to be an invaluable resource for both students and professionals in the field of bioinformatics.
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優點
- Comprehensive coverage of topics
- Clear and concise explanations
- Numerous examples and case studies
- Suitable for both students and professionals
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特色和優勢
- Comprehensive and critical examination of computational methods for analyzing biological data
- Accessible to advanced undergraduate and graduate students
- New chapters covering statistical analysis, computer programming, and data management
- Practical problems at the ends of chapters for teaching
- Ideal reference for professionals in molecular biology and genome laboratories
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