Bioinformatics: An Introductory Textbook
97% of respondents would recommend this to a friend
TWD 1474
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Discover the key to life together with the authors and learn to understand the language of life.
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產品詳情
| Publisher | Springer |
| Publication date | March 3, 2023 |
| Edition | 1st ed. 2023 |
| Language | English |
| Print length | 368 pages |
| ISBN-10 | 3662650355 |
| ISBN-13 | 978-3662650356 |
| Item Weight | 7.6 ounces (215.46 grams) |
| Dimensions | 6.61 x 0.83 x 9.45 inches (16.8 x 2.1 x 24 cm) |
Who Should Buy?
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Biology Students
Ideal for undergraduate biology students seeking foundational knowledge in bioinformatics and computational biology methods.
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Researchers
Useful for researchers in genetics or molecular biology looking to integrate bioinformatics into their studies effectively.
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Educators
Beneficial for educators teaching bioinformatics, providing comprehensive material and insights suitable for classroom instruction.
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Advanced Specialists
Not suitable for advanced bioinformatics practitioners who require detailed and specialized content beyond introductory material.
產品描述
Bioinformatics: An Introductory Textbook
客戶問題與解答
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問題:
Who is this book for?
Answer: Any biology student, whether undergraduate or graduate, as well as computer science and related science students. -
問題:
What does the book cover?
Answer: The basics of bioinformatics, including finding and analyzing sequence information, RNA, DNA, proteins, and entire metabolic pathways. -
問題:
Is the translation accurate?
Answer: The book has been translated using machine translation with subsequent human revision for content, resulting in a stylistically different translation.
Biology Editorial Review
Customer Reviews & Ratings
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優點
- Comprehensive content coverage
- User-friendly language
- Relevant real-world examples
缺點
- Some topics may be outdated.
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TWD 1474
立即訂購並活動它 Sunday, 九月 13
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特色和優勢
- Gripping introduction to the fastest growing field of biology
- Easy-to-follow examples
- Well-prepared appendix for immediate practical experience
- Covers basics of finding and analyzing sequence information
- Includes exciting examples from biology
- Suitable for biology and computer science students
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