Special Issue "Entropy in Genetics and Computational Biology"

Quicklinks

A special issue of Entropy (ISSN 1099-4300).

Deadline for manuscript submissions: closed (31 March 2010)

Special Issue Editor

Guest Editor
Prof. Dr. Warren Ewens
324 Leidy Laboratories, Department of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA
E-Mail: wewens@sas.upenn.edu
Phone: +1-215-898-7109
Fax: +1-215-898-8780

Special Issue Information

Dear Colleagues,

The concept of entropy arose in classical theoretical physics as describing a measure or randomness, or disorder, of a physical system. The second law of thermodynamics states that the entropy of a closed system increases with time: if a closed vessel initially contains hot air at one end and cold air at the other, then as time progresses the hot and cold air become increasingly mixed and this implies an increase in the entropy, or disorder, of the system. This is in effect a statistical law and in principle describes the most likely behaviour of the system. The huge number of atoms of air in the vessel implies however that this most likely behaviour is almost certain to arise, so that what is in principle a stochastic process can in practice be regarded as a deterministic one. In the biological world random events arise constantly, but here they are far more important than in the physical context just described. As just one example, the random transmission of genes from parent to offspring implies that the study of evolution as a genetic process must allow for this randomness. Thus this study involves quite complex mathematical stochastic processes, and developments in the theory of these processes have often been motivated by biological questions. Similarly advances in statistical theory have often, perhaps mainly, arisen in the biological and medical contexts. The analysis of medical data requires statistical methods to allow for the randomness inherent in the sampling process involved in obtaining these data. Thus entropy concepts, through statistics and stochastic process theory, pervade both medicine and biology.

Prof. Dr. Warren Ewens
Guest Editor

Keywords

  • randomness
  • uncertainty
  • sampling
  • genetics
  • evolution
  • accidents
  • stochastic processes
  • statistics

Published Papers (3 papers)

Entropy 2010, 12(7), 1765-1798; doi:10.3390/e12071765
Received: 1 April 2010; in revised form: 20 June 2010 / Accepted: 28 June 2010 / Published: 15 July 2010
Show/Hide Abstract | Download PDF Full-text (294 KB)

Entropy 2010, 12(5), 1102-1124; doi:10.3390/e12051102
Received: 21 February 2010; Accepted: 28 April 2010 / Published: 5 May 2010
Show/Hide Abstract | Download PDF Full-text (329 KB)

Entropy 2010, 12(5), 1071-1101; doi:10.3390/e12051071
Received: 2 March 2010; in revised form: 10 April 2010 / Accepted: 28 April 2010 / Published: 4 May 2010
Show/Hide Abstract | Download PDF Full-text (362 KB)

Last update: 25 February 2014

Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert