Computational Biology: A Statistical Mechanics Perspective, Second Edition
暫譯: 計算生物學：統計力學視角（第二版）
Blossey, Ralf
- 出版商: CRC
- 出版日期: 2021-03-31
- 售價: $2,350
- 貴賓價: 9.5 折 $2,233
- 語言: 英文
- 頁數: 312
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0367779749
- ISBN-13: 9780367779740
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相關主題
商品描述
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.
商品描述(中文翻譯)
計算生物學在過去二十年中迅速發展，這一切始於基因組革命，最終導致人類基因組的測序。計算生物學比以往任何時候都更加融合了來自不同精確科學領域的計算方法：純粹與應用數學、計算機科學、理論物理學。本書第二版為計算生物學和生物物理學的研究生和研究人員提供了統計力學技術的堅實介紹。
- 內容已重新組織，以澄清生物分子系統的平衡與非平衡方面
- 內容已擴展，特別是在生物分子的靜電相互作用處理以及非平衡統計力學在生物分子中的應用方面
- 提出了基於網絡的新方法來研究蛋白質。
作者簡介
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.
作者簡介(中文翻譯)
Ralf Blossey 是法國國家科學研究中心（CNRS）的研究主任，工作地點位於法國北部的里爾。在過去十五年中，他的研究專注於將統計力學方法應用於 DNA、蛋白質、基因調控網絡和染色質。他與來自計算機科學、數學、計算生物學、分子和細胞生物學的許多科學家合作，並與他原本的專業領域——統計物理的同事們進行合作。
