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Computational biology = a statistical mechanics perspective /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Computational biology/ Ralf Blossey.
其他題名:	a statistical mechanics perspective /
作者:	Blossey, Ralf.
出版者:	Boca Raton, Fl. :CRC Press, : c2019.,
面頁冊數:	1 online resource.
標題:	Computational biology. -
電子資源:	https://www.taylorfrancis.com/books/9780429503672
ISBN:	9780429503672

Computational biology = a statistical mechanics perspective /
Blossey, Ralf.

Computational biologya statistical mechanics perspective /[electronic resource] :Ralf Blossey. - 2nd ed. - Boca Raton, Fl. :CRC Press,c2019. - 1 online resource. - Chapman & Hall/CRC mathematical and computational biology. - Chapman & Hall/CRC mathematical and computational biology..

Includes bibliographical references and index.

Part 1: Equilibrium statistical mechanics -- Equilbrim statistical mechanics -- Biomolecular structure: DNA, RNA, proteins -- Phase transitions in RNA -- Soft matter electrostatics -- Part 2: Non-equilibrium statistical mechanics -- Back to P: probabilities over time -- Fluctuation theorems -- Dynamics of biological networks -- Biological networks: space.

Computational biology has developed rapidly during the last two decades following the genomic revolution which culminated in the sequencing of the human genome. More than ever it has developed into a field which embraces computational methods from different branches of the exact sciences: pure and applied mathematics, computer science, theoretical physics. This Second Edition provides a solid introduction to the techniques of statistical mechanics for graduate students and researchers in computational biology and biophysics. Material has been reorganized to clarify equilbrium and nonequilibrium aspects of biomolecular systems Content has been expanded, in particular in the treatment of the electrostatic interactions of biomolecules and the application of non-equilibrium statistical mechanics to biomolecules New network-based approaches for the study of proteins are presented. All treated topics are put firmly in the context of the current research literature, allowing the reader to easily follow an individual path into a specific research field. Exercises and Tasks accompany the presentations of the topics with the intention of enabling the readers to test their comprehension of the developed basic concepts.

ISBN: 9780429503672Subjects--Topical Terms:

566357
Computational biology.

LC Class. No.: QH506 / .B57 2020eb

Dewey Class. No.: 572.80285

Computational biology = a statistical mechanics perspective /
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520 $a Computational biology has developed rapidly during the last two decades following the genomic revolution which culminated in the sequencing of the human genome. More than ever it has developed into a field which embraces computational methods from different branches of the exact sciences: pure and applied mathematics, computer science, theoretical physics. This Second Edition provides a solid introduction to the techniques of statistical mechanics for graduate students and researchers in computational biology and biophysics. Material has been reorganized to clarify equilbrium and nonequilibrium aspects of biomolecular systems Content has been expanded, in particular in the treatment of the electrostatic interactions of biomolecules and the application of non-equilibrium statistical mechanics to biomolecules New network-based approaches for the study of proteins are presented. All treated topics are put firmly in the context of the current research literature, allowing the reader to easily follow an individual path into a specific research field. Exercises and Tasks accompany the presentations of the topics with the intention of enabling the readers to test their comprehension of the developed basic concepts.
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