Название: Algorithms in Bioinformatics: Theory and ImplementationАвтор: Paul A. Gagniuc
Издательство: Wiley
Год: 2021
Формат: PDF
Страниц: 505
Размер: 10 Mb
Язык: English
Explore a comprehensive and insightful treatment of the practical application of bioinformatic algorithms in a variety of fields
Algorithms in Bioinformatics: Theory and Implementation delivers a fulsome treatment of some of the main algorithms used to explain biological functions and relationships. It introduces readers to the art of algorithms in a practical manner which is linked with biological theory and interpretation. The book covers many key areas of bioinformatics, including global and local sequence alignment, forced alignment, detection of motifs, Sequence logos, Markov chains or information entropy. Other novel approaches are also described, such as Self-Sequence alignment, Objective Digital Stains (ODSs) or Spectral Forecast and the Discrete Probability Detector (DPD) algorithm.
The text incorporates graphical illustrations to highlight and emphasize the technical details of computational algorithms found within, to further the reader’s understanding and retention of the material. Throughout, the book is written in an accessible and practical manner, showing how algorithms can be implemented and used in jаvascript on Internet Browsers. The author has included more than 120 open-source implementations of the material, as well as 33 ready-to-use presentations.