Essays In Bioinformatics

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Information Theory and Statistical Learning

Author: Frank Emmert-Streib
language: en
Publisher: Springer Science & Business Media
Release Date: 2009
This interdisciplinary text offers theoretical and practical results of information theoretic methods used in statistical learning. It presents a comprehensive overview of the many different methods that have been developed in numerous contexts.
Encyclopedia of Genetics

The Encyclopedia includes 125 entries, beginning with the origins of genetics including historical background on the work of Gregor Mendel and Charles Darwin, and progressing to the structure of DNA and modern theories such as selfish genes. All branches of genetics are covered, including the genetics of bacteria, viruses, insects, animals and plants, as well as humans. Important topical issues such as the human genome project, bioethics, the law and genetics, genetic disorders, GM crops, and the use of transgenic animals for food and pharmaceutical products are fully surveyed. A section on techniques and biotechnology includes modern methods of analysis, from DNA fingerprinting to the new science of bioinformatics. The articles, all written by specialists, are largely non-mathematical and progress from general concepts to deeper understanding. Each essay is fully referenced, with suggestions for further reading. The text is supplemented by extensive illustrations, tables and a color plate section. The Encyclopedia of Genetics will be a valuable companion for all those working or studying in the various fields of genetical research, and a fascinating reference for all readers with a basic background in biology. Also includes color inserts.