000			03461cam a2200421 i 4500
001			u15161
003			SA-PMU
005			20210418123009.0
008			160927s2017 flua b 001 0 eng
010			_a 2016027400
040			_aDLC _beng _erda _cDLC _dBTCTA _dUKMGB _dLTU _dAMH _dQGK _dYDX _dAJB _dYUS _dOCLCO _dHF9 _dOCLCQ _dU3W _dOCLCF
015			_aGBB0E8418 _2bnb
020			_a9781439812471 _q(hardback ; _qalk. paper)
020			_a1439812470 _q(hardback ; _qalk. paper)
024	8		_a40026968812
035			_a(OCoLC)659750524
042			_apcc
050	0	0	_aQH324.2 _b.B97 2017
082	0	0	_a570.285 _223
100	1		_aByron, Kevin, _d1954- _eauthor.
245	1	0	_aBioinformatics database systems / _cKevin Byron, New Jersey Institute of Technology, Newark, USA, Katherine G. Herbert, Montclaire State University, New Jersey, USA, Jason T.L. Wang, New Jersey Institute of Technology, Newark, USA.
264		1	_aBoca Raton : _bCRC Press. Taylor & Francis Group, _c[2017]
300			_axix, 269 pages : _billustrations ; _c24 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
500			_a"A Chapman & Hall book."
504			_aIncludes bibliographical references and index.
505	0		_aOverview of bioinformatics databases -- Biological data cleaning -- Biological data integration -- Biological data searching -- Biological data mining -- Biological network inference -- Cloud-based biological data processing.
520			_aModern biological databases comprise not only data, but also sophisticated query facilities and bioinformatics data analysis tools. This book provides an exploration through the world of Bioinformatics Database Systems. The book summarizes the popular and innovative bioinformatics repositories currently available, including popular primary genetic and protein sequence databases, phylogenetic databases, structure and pathway databases, microarray databases and boutique databases. It also explores the data quality and information integration issues currently involved with managing bioinformatics databases, including data quality issues that have been observed, and efforts in the data cleaning field. Biological data integration issues are also covered in-depth, and the book demonstrates how data integration can create new repositories to address the needs of the biological communities. It also presents typical data integration architectures employed in current bioinformatics databases. The latter part of the book covers biological data mining and biological data processing approaches using cloud-based technologies. General data mining approaches are discussed, as well as specific data mining methodologies that have been successfully deployed in biological data mining applications. Two biological data mining case studies are also included to illustrate how data, query, and analysis methods are integrated into user-friendly systems. Aimed at researchers and developers of bioinformatics database systems, the book is also useful as a supplementary textbook for a one-semester upper-level undergraduate course, or an introductory graduate bioinformatics course. -- Provided by publisher.
650		0	_aBioinformatics.
650		0	_aBiology _xDatabases.
650		7	_aBioinformatics. _2fast _0(OCoLC)fst00832181
700	1		_aHerbert, Katherine G., _eauthor.
700	1		_aWang, Jason T. L., _eauthor.
596			_a1
942			_cBOOK
999			_c1054 _d1054