Name: Computer Analysis of Genetic Macromolecules: Structure, Function and Evolution (en Inglés)
SKU: 25305729
Price: 272.33 USD
Availability: InStock
Author: Kolchanov, Nikolay A. ; Lim, Hwa A.
ISBN: 9789810213787

portada Computer Analysis of Genetic Macromolecules: Structure, Function and Evolution (en Inglés)

Computer Analysis of Genetic Macromolecules: Structure, Function and Evolution (en Inglés)

Formato

Libro Físico

Autor

Hwa A. Lim

Nikolay A. Kolchanov

Editorial

World Scientific Publishing Company

Año

1994

Idioma

Inglés

N° páginas

580

Encuadernación

Tapa Dura

ISBN

9810213786

ISBN13

9789810213787

Categorías

Matemáticas
Química
Biología celular (citología)

Computer Analysis of Genetic Macromolecules: Structure, Function and Evolution (en Inglés)

Hwa A. Lim (Autor) · Nikolay A. Kolchanov (Autor) · World Scientific Publishing Company · Tapa Dura

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Reseña del libro "Computer Analysis of Genetic Macromolecules: Structure, Function and Evolution (en Inglés)"

Molecular biology and genetics are fast-growing fields with significant results and findings being reported virtually every day. Raw data from the wet lab accumulate at an astonishing rate, making it necessary to analyze the biological data with the use of computers. This book reveals how the current challenges of molecular biology and genetics are met with computer and mathematical treatments. A combined effort of the Computational Genetics and Biophysics Group (Supercomputer Computations Research Institute, USA), the Theoretical Molecular Genetics (Russian Academy of Sciences, Russia) and the Bioinformatics Group (Consiglio Nazionale delle Ricerche, Italy), many of these findings are firsthand discoveries made by these groups. The book emphasizes the fundamental principles of the structural-functional organization of the 3 major classes of genetic macromolecules: DNA, RNA and proteins. It also introduces universally applicable theoretical principles into the enormous realm of raw data and develops an integrative, theoretical computer approach to the analysis of these macromolecules to gain insights into the complexities of their function and evolution.