eBook, PDF

Data Mining Techniques for the Life Sciences (eBook, PDF)

Beschreibung

Whereas getting exact data about living systems and sophisticated experimental procedures have primarily absorbed the minds of researchers previously, the development of high-throughput technologies has caused the weight to increasingly shift to the problem of interpreting accumulated data in terms of biological function and biomolecular mechanisms. In Data Mining Techniques for the Life Sciences, experts in the field contribute valuable information about the sources of information and the techniques used for "mining" new insights out of databases. Beginning with a section covering the concepts and structures of important groups of databases for biomolecular mechanism research, the book then continues with sections on formal methods for analyzing biomolecular data and reviews of concepts for analyzing biomolecular sequence data in context with other experimental results that can be mapped onto genomes. As a volume of the highly successful Methods in Molecular Biology(TM) series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results.

Authoritative and easy to reference, Data Mining Techniques for the Life Sciences seeks to aid students and researchers in the life sciences who wish to get a condensed introduction into the vital world of biological databases and their many applications.

Technische Details

• Geräte: PC
• ohne Kopierschutz
• Größe: 11.71MB

Barrierefreiheit

• Text-to-Speech

Produktdetails

• Verlag: Humana Press
• Seitenzahl: 407
• Erscheinungstermin: 11. März 2010
• Englisch
• ISBN-13: 9781603272414
• Artikelnr.: 64692066

Rezensionen

From the reviews:

"The book consists of three parts with 22 chapters prepared by well-known experts from many countries. ... book will be useful for students and researchers, such as biochemists, molecular biologists, and biotechnologists, who wish to get a condensed introduction to the world of biological databases and their applications related to various aspects of life science." (G. Ya. Wiederschain, Biochemistry, Vol. 76 (4), 2011)

"Provides a comprehensive overview and reference for molecular biologists and bioinformaticians as to the goals and scope of each database in each category. ... The chapters are well written and provide a good introduction to the addressed topics ... . Each chapter is an interesting and informative read in itself ... . Overall, this edited volume provides a good reference to the current state of bioinformatics-related databases and as an introduction to the more common machine-learning techniques in bioinformatics." (Iddo Friedberg, The Quarterly Review of Biology, Vol. 86, December, 2011)