BIOINFORMATICS ALGORITHMS Hardcover January 1, 2018
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BIOINFORMATICS ALGORITHMS Hardcover January 1, 2018
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.
BIOINFORMATICS ALGORITHMS Hardcover January 1, 2018
Numéro d'article: 11099028

BIOINFORMATICS ALGORITHMS Hardcover January 1, 2018

Numéro d'article: 11099028

BIF 380817

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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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Ce qui se démarque

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.

Détails du produit

Explore a wide selection of Bioinformatics Algorithms Hardcover books at Ubuy Burundi. Shop online with fast shipping and great deals on the latest titles.
Item Weight2.5 lbs (1.13 kg)

À qui est-ce destiné ?

Suitable For
  • Bioinformatics Students

    Ideal for undergraduate and graduate students looking to understand key algorithms used in bioinformatics research.

  • Research Scientists

    Useful for researchers who need to implement or understand bioinformatics algorithms for their projects or publications.

  • Data Scientists

    Beneficial for data scientists interested in applying bioinformatics approaches to genomic data analysis and interpretation.

Not Suitable For
  • Beginners in Biology

    Not suitable for those without a background in biology or bioinformatics, as the content may be too complex.

  • General Readers

    Not ideal for casual readers or those seeking general knowledge about biology without specific algorithmic focus.

  • Non-Technical Users

    Users without a technical or computational background might struggle with the advanced concepts and methodologies presented.

DESCRIPTION DU PRODUIT

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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Questions et réponses des clients

  • question: What topics are covered in the BIOINFORMATICS ALGORITHMS book?

    répondre: The BIOINFORMATICS ALGORITHMS hardcover book offers an in-depth exploration of key topics such as sequence alignment, phylogenetic analysis, and structural bioinformatics. Each chapter is designed to build upon previous knowledge, incorporating real-life biological problems that researchers face. This focused approach not only enhances theoretical understanding but also equips readers with practical skills applicable in research and industry settings.
  • question: Who is the target audience for the BIOINFORMATICS ALGORITHMS book?

    répondre: This book is primarily aimed at graduate students, researchers, and professionals in bioinformatics and computational biology. It serves as both a comprehensive reference for seasoned practitioners and a detailed instructional guide for newcomers. The mix of theoretical and practical examples provides a solid foundation for anyone looking to deepen their understanding of bioinformatics algorithms.
  • question: What are the key algorithms discussed in this book?

    répondre: The BIOINFORMATICS ALGORITHMS book elaborates on several key algorithms including, but not limited to, the Needleman-Wunsch and Smith-Waterman algorithms for sequence alignment, as well as various clustering techniques. The detail with which these algorithms are explained helps readers not only grasp their functionality but also understand the contexts in which they are best applied, thus enhancing their problem-solving skills.
  • question: Is prior knowledge of biology necessary to understand the content?

    répondre: While some prior knowledge of biology can be beneficial, the book is structured to accommodate readers with varying backgrounds. The initial chapters introduce essential biological concepts, allowing those new to the field to catch up. This inclusive approach ensures that readers can fully engage with the algorithms discussed and appreciate their applications in real biological scenarios.
  • question: Does the book include practical examples or case studies?

    répondre: Yes, the BIOINFORMATICS ALGORITHMS book presents numerous practical examples and case studies throughout its chapters. These real-world scenarios illustrate how the theoretical concepts are applied in current research and industry challenges. This practical orientation not only reinforces learning but also helps motivate readers by showing the relevance and impact of their studies.
  • question: Are there any recommended supplementary resources for further study?

    répondre: The book often references additional resources such as online databases, software tools, and academic journals relevant to bioinformatics. These supplementary materials can provide deeper insights and aid in the practical application of the concepts covered. By engaging with these resources, readers can expand their understanding and stay updated with the latest developments in the field.
  • question: What teaching methods are utilized in the BIOINFORMATICS ALGORITHMS book?

    répondre: The book employs a blend of narrative explanations, mathematical formulations, and visual aids such as diagrams and flowcharts. This multi-faceted approach caters to different learning styles, ensuring that readers can grasp complex concepts more easily. With thoughtful structuring, it facilitates a layered learning experience, enhancing both comprehension and retention of the material.
  • question: Can this book be useful for self-study?

    répondre: Absolutely, the BIOINFORMATICS ALGORITHMS book is well-suited for self-study. Its comprehensive coverage and structured layout allow individuals to work through the material at their own pace. Readers can tackle each concept progressively, making it an ideal resource for anyone looking to independently master bioinformatics algorithms without formal instruction.
  • question: What edition of the BIOINFORMATICS ALGORITHMS book is available?

    répondre: The book is available in its first edition, which was published to provide foundational knowledge in bioinformatics and introduce contemporary algorithms used in various applications. This edition is both a pivotal resource for new learners and a valuable reference for experienced professionals. Ensuring readers access a text that reflects current practices in bioinformatics is crucial for practical relevance.
  • question: Where can I buy BIOINFORMATICS ALGORITHMS Hardcover in Burundi?

    répondre: You can buy the BIOINFORMATICS ALGORITHMS Hardcover from Ubuy in Burundi. Ubuy offers a user-friendly platform to browse a variety of books, including this one, and provides robust customer support to assist with your purchase. By choosing Ubuy, you benefit from a seamless shopping experience tailored to your needs.

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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Avantages

  • Active learning approach
  • Comprehensive and rigorous introduction to bioinformatics algorithms
  • Suitable for beginners and advanced students

Les inconvénients

  • No index

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BIF 380817

Commandez maintenant et recevez votre commande aux alentours du Monday, Juin 29

QTY:

Transaction sécuriséeTransaction sécurisée

Ubuy s'engage à protéger votre sécurité et votre confidentialité. Notre système avancé de sécurité des paiements garantit la confidentialité en chiffrant vos informations lors de la transmission grâce aux protocoles AES (Advanced Encryption Standards) et SSL (Secure Socket Layer). Vos coordonnées de paiement sont 100 % sécurisées car nous ne partageons pas vos informations de paiement avec des vendeurs tiers.

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Caractéristiques et avantages

  • 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.