Data Mining Techniques for the Life Sciences. 2010. (Methods in Molecular Biology, Vol. 609). 89 figs. XII, 407 p. gr8vo. Hardcover.

Whereas getting exact data about living systems and 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 the book the authors 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 methodsfor analyzing biomolecular data and reviews of concepts for analyzing biomolecular sequence data in context with other experimental results that can be mapped onto genomes. This work provides the kind of detailed description and implementation advice that is crucial for getting optimal results. The book seeks to aid students and researchers in the life sciences who wish to get a condensed introduction into the world of biological databases and their many applications.