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Bioinformatics Algorithms
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Bioinformatics Algorithms
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
artikal br.: 11099028

Bioinformatics Algorithms

86% of respondents would recommend this to a friend

artikal br.: 11099028

RSD 14979

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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.

Детаљи о производу

Explore a wide selection of Bioinformatics Algorithms Hardcover books at Ubuy Serbia. Shop online with fast shipping and great deals on the latest titles.
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?

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.

OPIS PROIZVODA

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.

Customer Reviews & Ratings

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Прос

  • 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

Цонс

  • Lack of index affects usability for quick reference

Product Price History

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RSD 14979

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Карактеристике и предности

  • 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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