Algorithms in Bioinformatics: Theory and Implementation

Algorithms in Bioinformatics: Theory and Implementation provides a comprehensive and insightful treatment of the practical application of bioinformatic algorithms in a variety of fields. It introduces readers to the art of algorithms in a practical manner linked with biological theory and interpretation, covering key areas such as global and local sequence alignment, motif detection, and sequence logos. The book incorporates graphical illustrations to highlight technical details and includes over 120 open-source implementations and 33 ready-to-use presentations. It also offers a thorough introduction to biological evolution, new methods, sequence alignment, position-specific weight matrices, Markov Chains, information and entropy, and philosophical transactions. Ideal for professionals, researchers, and upper-level undergraduate students in biology, medicine, engineering, and information technology, the book will also be valuable for software engineers who wish to understand how to implement bioinformatic algorithms in their products.

Format: Hardback
Length: 528 pages
Publication date: 10 August 2021
Publisher: John Wiley and Sons Ltd

Algorithms in Bioinformatics: Theory and Implementation delves into a comprehensive exploration of the practical application of bioinformatic algorithms across diverse fields. This comprehensive text offers a thorough treatment of the key algorithms employed to unravel biological functions and relationships, providing readers with a practical introduction to the art of algorithms in a context linked with biological theory and interpretation. Spanning a wide range of bioinformatics domains, the book covers essential topics such as global and local sequence alignment, forced alignment, motif detection, sequence logos, Markov chains, and information entropy. Additionally, it introduces novel approaches like self-sequence alignment, objective digital stains (ODSs), and spectral forecast, along with the discrete probability detector (DPD) algorithm.

To enhance understanding and retention, the text incorporates graphical illustrations that highlight and emphasize the technical details of computational algorithms. Written in an accessible and practical manner, the book demonstrates how algorithms can be implemented and utilized in JavaScript on Internet browsers. The author has included over 120 open-source implementations of the material, along with 33 ready-to-use presentations. Furthermore, the book offers original content that has undergone classroom testing and includes numerous case studies examined within a biological and medical context.

In addition to its theoretical insights, Algorithms in Bioinformatics: Theory and Implementation provides readers with valuable resources. It offers a thorough introduction to biological evolution, encompassing the emergence of life, classifications, and some well-known theories and molecular mechanisms. The book also presents novel methods, including self-sequence alignment, objective digital stains, and spectral forecast, which have the potential to revolutionize bioinformatics research.

By providing a comprehensive and practical guide to bioinformatic algorithms, Algorithms in Bioinformatics: Theory and Implementation is an essential resource for students, researchers, and practitioners in the field. Its comprehensive coverage, accessible writing style, and practical examples make it an invaluable tool for advancing our understanding of biological processes and facilitating scientific discoveries.

Weight: 862g
Dimension: 232 x 163 x 32 (mm)
ISBN-13: 9781119697961