Pattern Recognition in Bioinformatics

Pattern Recognition in Bioinformatics
Author :
Publisher : Springer Science & Business Media
Total Pages : 488
Release :
ISBN-10 : 9783540884347
ISBN-13 : 3540884343
Rating : 4/5 (343 Downloads)

Book Synopsis Pattern Recognition in Bioinformatics by : Madhu Chetty

Download or read book Pattern Recognition in Bioinformatics written by Madhu Chetty and published by Springer Science & Business Media. This book was released on 2008-09-29 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the post-genomic era, a holistic understanding of biological systems and p- cesses,inalltheircomplexity,is criticalincomprehendingnature’schoreography of life. As a result, bioinformatics involving its two main disciplines, namely, the life sciences and the computational sciences, is fast becoming a very promising multidisciplinary research ?eld. With the ever-increasing application of lar- scalehigh-throughputtechnologies,suchasgeneorproteinmicroarraysandmass spectrometry methods, the enormous body of information is growing rapidly. Bioinformaticians are posed with a large number of di?cult problems to solve, arising not only due to the complexities in acquiring the molecular infor- tion but also due to the size and nature of the generated data sets and/or the limitations of the algorithms required for analyzing these data. Although the ?eld of bioinformatics is still in its embryonic stage, the recent advancements in computational and information-theoretic techniques are enabling us to c- ductvariousinsilicotestingandscreeningofmanylab-basedexperimentsbefore these are actually performed in vitro or in vivo. These in silico investigations are providing new insights for interpretation and establishing a new direction for a deeper understanding. Among the various advanced computational methods currently being applied to such studies, the pattern recognition techniques are mostly found to be at the core of the whole discovery process for apprehending the underlying biological knowledge. Thus, we can safely surmise that the - going bioinformatics revolution may, in future, inevitably play a major role in many aspects of medical practice and/or the discipline of life sciences.


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