Bioinformatics Algorithms
87% of respondents would recommend this to a friend
HKD 1016
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Bioinformatics Algorithms: an Active Learning Approach strikes a unique balance between practical challenges in modern biology and fundamental algorithmic ideas, thus capturing the interest of students of both biology and computer science.
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產品詳情
| Publisher | Active Learning Publishers |
| Publication date | January 1, 2018 |
| Edition | 3rd |
| Language | English |
| Print length | 728 pages |
| ISBN-10 | 0990374637 |
| ISBN-13 | 978-0990374633 |
| Item Weight | 3.77 pounds (1.71 kg) |
| Dimensions | 9.21 x 7.24 x 1.81 inches (23.4 x 18.4 x 4.6 cm) |
Who Should Buy?
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Bioinformatics Students
Ideal for undergraduate and graduate students looking to understand key algorithms used in bioinformatics research.
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Research Scientists
Useful for researchers who need to implement or understand bioinformatics algorithms for their projects or publications.
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Data Scientists
Beneficial for data scientists interested in applying bioinformatics approaches to genomic data analysis and interpretation.
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Beginners in Biology
Not suitable for those without a background in biology or bioinformatics, as the content may be too complex.
產品敘述
Bioinformatics Algorithms
About This Item
Introducing the "Bioinformatics Algorithms" Hardcover book, a must-have resource for anyone interested in the fascinating field of bioinformatics. This book provides comprehensive coverage of algorithms used in bioinformatics, making it an essential tool for researchers, students, and professionals alike. Written by experts in the field, this hardcover edition is packed with valuable information and insights to help you navigate the complex world of bioinformatics. Whether you're a beginner or an experienced bioinformatician, this book offers a wealth of knowledge to enhance your understanding and expertise. With its publication date in January 2018, this book is up-to-date with the latest developments in bioinformatics algorithms.
Stay ahead of the curve and gain a competitive edge with the most recent information and techniques in the field. The hardcover format ensures the durability and longevity of this valuable resource, allowing you to refer back to it for years to come. Its sturdy construction makes it ideal for heavy use in academic environments, research laboratories, or personal libraries. Whether you're interested in gene sequencing, protein structure prediction, or analyzing genomic data, the "Bioinformatics Algorithms" Hardcover is your ultimate guide. From the basics to advanced concepts, this book covers a wide range of topics, including sequence alignment, DNA sequencing, phylogenetic analysis, and much more. Don't miss out on this opportunity to acquire the definitive resource on bioinformatics algorithms.
Order your copy of the "Bioinformatics Algorithms" Hardcover today and unlock the secrets of this rapidly evolving field.
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Bioinformatics Editorial Review
BIOINFORMATICS ALGORITHMS offers a dynamic learning experience for both biology and computer science enthusiasts. The book excels in teaching bioinformatics through a series of specific biological questions, each chapter fostering algorithmic understanding with appropriate depth. Readers appreciate the engaging writing style and the active learning approach, utilizing coding exercises that facilitate real-world applications of genomic concepts. The text is beautifully illustrated, although some readers find the font size small in parts. The authors effectively capture the excitement of discovery in both fields, and despite the absence of an index, the book remains a highly recommended resource for learners at all levels.
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優點
- Dynamic approach to learning bioinformatics
- Rich illustrations enhance understanding
- Challenging exercises keep readers engaged
- Content caters to both biologists and computer scientists
- Encourages programming skill development
缺點
- Lack of index affects usability for quick reference
Product Price History
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HKD 1016
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特色和優勢
- Bioinformatics Algorithms: an Active Learning Approach is a third edition of the first textbook that emerged from the online learning revolution.
- It presents the fundamentals of bioinformatics algorithms with a practical outlook on modern biology designed to engage students of both biology and computer science.
- Each chapter has a biological question that serves as a jumping-off point and teaches students the algorithmic principles necessary to answer it.
- The book has hundreds of exercises embedded in the text, providing an interactive approach to testing knowledge.
- The book provides automated coding challenges on Rosalind, allowing students to obtain a deeper understanding of bioinformatics through programming.
- It is a unique learning approach combining biology and computer science to unleash the potential of students in science.
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