9789811316388 - A New Kind of Computational Biology: Cellular Automata Based Models for Genomics and Proteomics de Dutta, Adip; Pal Chaudhuri, Parimal; Ghosh, Soumyabrata (16 resultados)

XX, 335 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Condición: New. pp. 335.

Condición: New. pp. 335.

Condición: New. pp. 335.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New. In.

Condición: New.

Condición: As New. Unread book in perfect condition.

Hardcover. Condición: Brand New. 355 pages. 9.25x6.10x0.94 inches. In Stock.

Hardcover. Condición: New. New. book.

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book reflects more than three decades of research on Cellular Automata (CA), and nearly a decade of work on the application of CA to model biological strings, which forms the foundation of 'A New Kind of Computational Biology' pioneered by the start-up, CARLBio. After a brief introduction on Cellular Automata (CA) theory and functional biology, it reports on the modeling of basic biological strings with CA, starting with the basic nucleotides leading to codon and anti-codon CA models. It derives a more involved CA model of DNA, RNA, the entire translation process for amino acid formation and the evolution of protein to its unique structure and function. In subsequent chapters the interaction of Proteins with other bio-molecules is also modeled. The only prior knowledge assumed necessary is an undergraduate knowledge of computer programming and biology.The book adopts a hands-on, 'do-it-yourself' approach to enable readers to apply the method provided to derive the CArules and comprehend how these are related to the physical 'rules' observed in biology. In a single framework, the authors have presented two branches of science - Computation and Biology. Instead of rigorous molecular dynamics modeling, which the authors describe as a Bottoms-Up model, or relying on the Top-Down new age Artificial Intelligence (AI) and Machine Language (ML) that depends on extensive availability of quality data, this book takes the best from both the Top-Down and Bottoms-up approaches and establishes how the behavior of complex molecules is represented in CA. The CA rules are derived from the basic knowledge of molecular interaction and construction observed in biological world but mapped to a few subset of known results to derive and predict results.This book is useful for students, researchers and industry practitioners who want to explore modeling and simulation of the physical world complex systems from a different perspective. It raises the inevitable the question - 'Are life and the universe nothing but a collection of continuous systems processing information'.

Condición: new. Questo è un articolo print on demand.

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book reflects more than three decades of research on Cellular Automata (CA), and nearly a decade of work on the application of CA to model biological strings, which forms the foundation of 'A New Kind of Computational Biology' pioneered by the start-up, CARLBio. After a brief introduction on Cellular Automata (CA) theory and functional biology, it reports on the modeling of basic biological strings with CA, starting with the basic nucleotides leading to codon and anti-codon CA models. It derives a more involved CA model of DNA, RNA, the entire translation process for amino acid formation and the evolution of protein to its unique structure and function. In subsequent chapters the interaction of Proteins with other bio-molecules is also modeled. The only prior knowledge assumed necessary is an undergraduate knowledge of computer programming and biology.The book adopts a hands-on, 'do-it-yourself' approach to enable readers to apply the method provided to derive the CA rules and comprehend how these are related to the physical 'rules' observed in biology. In a single framework, the authors have presented two branches of science - Computation and Biology. Instead of rigorous molecular dynamics modeling, which the authors describe as a Bottoms-Up model, or relying on the Top-Down new age Artificial Intelligence (AI) and Machine Language (ML) that depends on extensive availability of quality data, this book takes the best from both the Top-Down and Bottoms-up approaches and establishes how the behavior of complex molecules is represented in CA. The CA rules are derived from the basic knowledge of molecular interaction and construction observed in biological world but mapped to a few subset of known results to derive and predict results.This book is useful for students, researchers and industry practitioners who want to explore modeling and simulation of the physical world complex systems from a different perspective. It raises the inevitable the question - 'Are life and the universe nothing but a collection of continuous systems processing information'. 356 pp. Englisch.

Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Proposes a New Kind of Computational Biology Takes us through A detailed journey and history of creating models of physical world systems in Physics, Chemistry and BiologyProposes Cellular Automata models of DNA, different types of RNAs, th.

Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware - The book is a self contained introduction of Cellular Automata (CA) and its applications on modeling of biological strings, proposing a 'New Kind of Computational Biology'. Book readership will cover students, academic researchers and industry practitioners of Computer Science and Computational Biology exploring new and innovative ways to address the challenges in Computational Biology. The methods and results reported are compilation of academic and industry challenges currently facing the world of Bioinformatics. Emphasis has been directed to the plethora of applications in the drug design and bio-molecule industry, the authors have been exposed to with their startup, CARLBio besides the academic and research flavour for this book. The algorithms are presented to ensure that a reader with basic knowledge of Computer programming and Biology can implement the steps in a 'Do It Yourself' approach. Executable programs for major modules will be hosted in Springer's Web Site. It will enable students to develop their own research projects. Even though the book is focused on CA based Computational Biology, the authors with multidisciplinary domain exposure have ensured that readers can employ CA methodologies and models for the study of different application domains of their interest. As the book proposes a new kind of computational biology, efforts have been directed to report the methods in a descriptive fashion, to ensure that the readership expands to cover the researchers and practitioners interested to advance and explore beyond what is presented in the book.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 356 pp. Englisch.