Some Lessons for Molecular Biology from Information Theory

@inproceedings{Schneider.lessons2003,
author = "T. D. Schneider",
editor = "J. Kacprzyk",
booktitle = "Entropy Measures, Maximum Entropy Principle
and Emerging Applications.
Special Series on Studies in Fuzziness and Soft Computing. (Festschrift
Volume in honour of Professor J.N. Kapour, Jawaharlal Nehru University,
India)",
title = "Some Lessons for Molecular Biology from Information Theory",
volume = "119",
publisher = "Springer-Verlag",
address = "New York",
pages = "229-237",
comment = "
http://www.springer.de/cgi-bin/search_book.pl?series=2941
http://www.springer.de/cgi-bin/search_book.pl?isbn=3-540-00242-1",
year = "2003"}

This paper is a chapter in a book, a festscrift in honour of Prof. J. N. Kapur on "Entropy Measures, Maximum Entropy and Emerging Applications" which has been published by Springer. Dr. Karmeshu, (Professor School of Computer and Systems sciences, Jawaharlal Nehru University New Delhi -110067) is the editor. This book is in the series "Studies in Fuzziness and Soft Computing", edited by Prof. Janusz Kacprzyk.