The book "Computational and Analytic Methods in Biological Sciences Bioinformatics with Machine Learning and Mathematical Modelling" provides an overview of the current state of computational methods used in biology and bioinformatics, including machine learning and mathematical modelling techniques. The book covers topics such as sequence analysis, gene expression analysis, genome assembly, and protein structure prediction, among others. The author emphasizes the importance of understanding the process of technological evolution and the need to develop a personal paradigm for perceiving the technological process of developing modern knowledge as the basis for the survival of humanity and the survival of the unification of people in a warring state. The book begins by discussing the history of computational methods in biology and bioinformatics, highlighting how these methods have evolved over time and their impact on the field. The author then delves into the various computational methods currently used in biology and bioinformatics, including machine learning and mathematical modelling techniques. These methods are described in detail, along with examples of their applications in biology and bioinformatics. One of the key themes of the book is the importance of understanding the process of technological evolution and its impact on society.

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