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Books on the topic 'DNA thermodynamics'

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Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Consult the top 16 books for your research on the topic 'DNA thermodynamics.'

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1

1947-, Johnson Michael L., and Ackers Gary K, eds. Energetics of biological macromolecules. San Diego, CA: Academic Press, 2000.

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2

Wilardjo, L. Bahang dan termodinamika. Jakarta: Departemen Pendidikan dan Kebudayaan, 1987.

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3

Bolek, Wiktor. Linearyzacja przez sprzężenie zwrotne w syntezie algorytmów regulacji dla obiektów termoenergetycznych. Wrocław: Oficyna Wydawnicza Politechniki Wrocławskiej, 2006.

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4

Hubert, Jerzy. Numeryczne zastosowania termodynamicznego potencjału lokalnego: Algorytmy rozwiązań i analiza błędu dla różnych typów warunków brzegowych i geometrii przepływu. Kraków: Akademia Górniczo-Hutnicza im. S. Staszica w Krakowie, 1985.

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5

Bachmann, Michael. Thermodynamics and Statistical Mechanics of Macromolecular Systems. University of Cambridge ESOL Examinations, 2014.

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6

Bachmann, Michael. Thermodynamics and Statistical Mechanics of Macromolecular Systems. Cambridge University Press, 2014.

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7

Thermodynamics and Statistical Mechanics of Macromolecular Systems. Cambridge University Press, 2014.

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8

Stormo, Gary D. Introduction to Protein-DNA Interactions: Structure, Thermodynamics, and Bioinformatics. Cold Spring Harbor Laboratory Press, 2013.

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9

Leong, Terence T. Thermodynamics of nucleic acids ; and, Nucleic acid interactions with CC1065 and structurally analogous cytotoxic drugs. 1989.

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10

U, Bastolla, ed. Structural approaches to sequence evolution: Molecules, networks, populations. Berlin: Springer, 2007.

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11

Bastolla, Ugo, Markus Porto, Eduardo Roman, and Michele Vendruscolo. Structural Approaches to Sequence Evolution: Molecules, Networks, Populations. Springer London, Limited, 2007.

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12

(Editor), U. Bastolla, M. Porto (Editor), H. E. Roman (Editor), and M. Vendruscolo (Editor), eds. Structural Approaches to Sequence Evolution: Molecules, Networks, Populations (Biological and Medical Physics, Biomedical Engineering) (Biological and Medical Physics, Biomedical Engineering). Springer, 2007.

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13

Bastolla, Ugo, Markus Porto, Eduardo Roman, and Michele Vendruscolo. Structural Approaches to Sequence Evolution: Molecules, Networks, Populations. Springer Berlin / Heidelberg, 2010.

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14

Sethna, James P. Statistical Mechanics: Entropy, Order Parameters, and Complexity. 2nd ed. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198865247.001.0001.

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This text distills the core ideas of statistical mechanics to make room for new advances important to information theory, complexity, active matter, and dynamical systems. Chapters address random walks, equilibrium systems, entropy, free energies, quantum systems, calculation and computation, order parameters and topological defects, correlations and linear response theory, and abrupt and continuous phase transitions. Exercises explore the enormous range of phenomena where statistical mechanics provides essential insight — from card shuffling to how cells avoid errors when copying DNA, from the arrow of time to animal flocking behavior, from the onset of chaos to fingerprints. The text is aimed at graduates, undergraduates, and researchers in mathematics, computer science, engineering, biology, and the social sciences as well as to physicists, chemists, and astrophysicists. As such, it focuses on those issues common to all of these fields, background in quantum mechanics, thermodynamics, and advanced physics should not be needed, although scientific sophistication and interest will be important.
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15

Poon, Gregory Man Kai. Thermodynamic characterization of the sequence-specific interactions of the ETS domain of murine PU.1 with DNA. 2003, 2003.

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16

Vedral, Vlatko. Decoding Reality. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198815433.001.0001.

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For a physicist, all the world is information. The Universe and its workings are the ebb and flow of information. We are all transient patterns of information, passing on the recipe for our basic forms to future generations using a four-letter digital code called DNA. In this engaging and mind-stretching account, Vlatko Vedral considers some of the deepest questions about the Universe and considers the implications of interpreting it in terms of information. He explains the nature of information, the idea of entropy, and the roots of this thinking in thermodynamics. He describes the bizarre effects of quantum behaviour -- effects such as 'entanglement', which Einstein called 'spooky action at a distance', and explores cutting edge work on harnessing quantum effects in hyperfast quantum computers, and how recent evidence suggests that the weirdness of the quantum world, once thought limited to the tiniest scales, may reach into the macro world. Vedral finishes by considering the answer to the ultimate question: where did all of the information in the Universe come from? The answers he considers are exhilarating, drawing upon the work of distinguished physicist John Wheeler. The ideas challenge our concept of the nature of particles, of time, of determinism, and of reality itself. This edition includes a new foreword from the author, reflecting on changes in the world of quantum information since first publication. Oxford Landmark Science books are 'must-read' classics of modern science writing which have crystallized big ideas, and shaped the way we think.
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