Data Mining Techniques for the Life Sciences (Paperback, Softcover reprint of the original 1st ed. 2010)

Most life science researchers will agree that biology is not a truly theoretical branch of science. The hype around computational biology and bioinformatics beginning in the nineties of the 20th century was to be short lived (1, 2). When almost no value of practical importance such as the optimal dose of a drug or the three-dimensional structure of an orphan protein can be computed from fundamental principles, it is still more straightforward to determine them experimentally. Thus, experiments and observationsdogeneratetheoverwhelmingpartofinsightsintobiologyandmedicine. The extrapolation depth and the prediction power of the theoretical argument in life sciences still have a long way to go. Yet, two trends have qualitatively changed the way how biological research is done today. The number of researchers has dramatically grown and they, armed with the same protocols, have produced lots of similarly structured data. Finally, high-throu- put technologies such as DNA sequencing or array-based expression profiling have been around for just a decade. Nevertheless, with their high level of uniform data generation, they reach the threshold of totally describing a living organism at the biomolecular level for the first time in human history. Whereas getting exact data about living systems and the sophistication of experimental procedures have primarily absorbed the minds of researchers previously, the weight increasingly shifts to the problem of interpreting accumulated data in terms of biological function and bio- lecular mechanisms.

General

Imprint:	HumanaPress
Country of origin:	United States
Series:	Methods in Molecular Biology, 609
Release date:	August 2016
First published:	2010
Editors:	Oliviero Carugo • Frank Eisenhaber
Dimensions:	254 x 178mm (L x W)
Format:	Paperback
Pages:	407
Edition:	Softcover reprint of the original 1st ed. 2010
ISBN-13:	978-1-4939-5688-3
Categories:	Books > Science & Mathematics > Biology, life sciences > Molecular biology Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General
LSN:	1-4939-5688-4
Barcode:	9781493956883

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