000			01526nam a2200205 4500
020			_a9780849328015
040			_cIIT Kanpur
041			_aeng
082			_a572.330285 _bD85d
100			_aDua, Sumeet
245			_aData mining for bioinformatics [Special Indian ed.] _cSumeet Dua and Chowriappa, Pradeep
250			_aSpecial Indian ed.
260			_aBoca Raton _bCRC Press _c2013
300			_axix, 328p
520			_aCovering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a comprehensive discussion of data-intensive computations used in data mining with applications in bioinformatics. It supplies a broad, yet in-depth, overview of the application domains of data mining for bioinformatics to help readers from both biology and computer science backgrounds gain an enhanced understanding of this cross-disciplinary field. The book offers authoritative coverage of data mining techniques, technologies, and frameworks used for storing, analyzing, and extracting knowledge from large databases in the bioinformatics domains, including genomics and proteomics. It begins by describing the evolution of bioinformatics and highlighting the challenges that can be addressed using data mining techniques. Introducing the various data mining techniques that can be employed in biological databases, the text is organized into four sections:
650			_aBioinformatics
650			_aData mining
700			_aChowriappa, Pradeep
942			_cBK
999			_c561221 _d561221