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Item #:
11099028
BIOINFORMATICS ALGORITHMS Hardcover January 1, 2018
Item #:
11099028
ZAR 3281
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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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What Stands Out
Comprehensive Coverage
This hardcover edition provides an extensive overview of bioinformatics algorithms, ensuring a thorough understanding for both students and professionals engaged in computational biology.
Practical Applications
Focuses on real-world applications, enabling users to apply complex algorithms to actual biological data, thus bridging the gap between theory and practice in bioinformatics.
Expert Insights
Written by leading experts in the field, this book offers authoritative insights and methodologies, enhancing the reader's knowledge and skills in employing these algorithms effectively.
Product Details
| Item Weight | 2.5 lbs (1.13 kg) |
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.
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General Readers
Not ideal for casual readers or those seeking general knowledge about biology without specific algorithmic focus.
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Non-Technical Users
Users without a technical or computational background might struggle with the advanced concepts and methodologies presented.
Product Description
BIOINFORMATICS ALGORITHMS Hardcover January 1, 2018
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: An Active Learning Approach" by Phillip Compeau and Pavel Pevzner, is a textbook that provides students with an active and interactive approach to learning bioinformatics. The book is structured around biological questions, with each chapter developing algorithmic sophistication required to answer these questions. The book's active learning approach is a highlight, as it encourages readers to take a more hands-on approach to learning through automated coding challenges on the popular Rosalind platform. The book has been praised for its ability to engage both biology and computer science students. The authors use analogies and real-world examples to make complex concepts more accessible, while providing a comprehensive introduction to bioinformatics algorithms. However, some have criticised the numerous detours the authors take, which make the book less linear. The lack of an index has been a significant criticism, as it makes referring back to previous topics challenging. The book is suitable for beginners and advanced students, with challenging exercises and algorithms included throughout the text. Overall, "Bioinformatics Algorithms: An Active Learning Approach (Third Edition)" is a valuable resource for anyone interested in bioinformatics. The book's engaging and interactive approach, combined with its practical examples and comprehensive coverage of fundamental algorithms, makes it worthwhile for students of both biology and computer science.
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Pros
- Active learning approach
- Comprehensive and rigorous introduction to bioinformatics algorithms
- Suitable for beginners and advanced students
Cons
- No index
Product Price History
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ZAR 3281
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Secured transaction
Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
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Features & Benefits
- 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.