Computational Biology - A Statistical Mechanics Perspective, Second Edition

Table des matières

Part 1: Equilibrium Statistical Physics. 1. Equilbrim Statistical Mechanics. 2. Biomolecular Structure: DNA, RNA, Proteins. 3. Phase Transitions in RNA. 4. Soft Matter Electrostatics. Part 2. Nonequilibrium Statistical Mechanics. 5. Bach to P: Probabilities Over Time. 6. Fluctuation Theorems. 7. Dynamics of Biological Networks. 8. Biological Networks: Space

A propos de l'auteur

Ralf Blossey is a Research Director at the French National Center for Scientific Research, the CNRS, and is based in Lille, in the North of France. His work during the last fifteen years has focussed on the application of statistical mechanics methods to DNA, proteins, gene regulatory networks and chromatin. He has collaborated with many scientists from computer science, mathematics, computational biology, molecular and cellular biology, as well as colleagues from his original field of training, statistical physics.

Résumé

The physical and chemical properties of the molecular constituents of biological systems like DNA, RNA and proteins,and their complex interaction networks, are essential for the analysis of their biological function. This book provides a solid introduction into the techniques from statistical physics for the computational biologist.

Détails du produit

• Auteurs: Ralf Blossey, Ralf (Interdisciplinary Research Institut Blossey, Blossey Ralf
• Edition: Taylor & Francis Ltd.
• Langues: Anglais
• Format d'édition: Livre Relié
• Sortie: 04.06.2019
• EAN: 9781138587861
• ISBN: 978-1-138-58786-1
• Pages: 312
• Thème: Chapman & Hall/CRC Computational Biology Series
• Catégories: Sciences naturelles, médecine, informatique, technique > Informatique, ordinateurs > Général, dictionnaires; COMPUTERS / General, SCIENCE / Physics / General, SCIENCE / Life Sciences / Biology, SCIENCE / Biotechnology, COMPUTERS / Programming / Games, computer science, Biology, life sciences, Biophysics