000			03746nam a22005655i 4500
001			978-3-540-74891-5
003			DE-He213
005			20161121230809.0
007			cr nn 008mamaa
008			100301s2008 gw | s |||| 0|eng d
020			_a9783540748915 _9978-3-540-74891-5
024	7		_a10.1007/978-3-540-74891-5 _2doi
050		4	_aQH301-705
072		7	_aPSA _2bicssc
072		7	_aSCI086000 _2bisacsh
082	0	4	_a570 _223
100	1		_aShen, Shiyi. _eauthor.
245	1	0	_aTheory and Mathematical Methods for Bioinformatics _h[electronic resource] / _cby Shiyi Shen, Jack A. Tuszynski.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2008.
300			_aXVI, 445 p. 47 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aBiological and Medical Physics, Biomedical Engineering, _x1618-7210
505	0		_aOutline -- Outline -- Mutations and Alignments -- Stochastic Models of Mutations and Structural Analysis -- Modulus Structure Theory -- Super Pairwise Alignment -- Multiple Sequence Alignment -- Network Structures of Multiple Sequences Induced by Mutation -- Alignment Space -- Protein Configuration Analysis -- Background Information Concerning the Properties of Proteins -- Informational and Statistical Iterative Analysis of Protein Secondary Structure Prediction -- Three-Dimensional Structure Analysis of the Protein Backbone and Side Chains -- Alignment of Primary and Three-Dimensional Structures of Proteins -- Depth Analysis of Protein Spatial Structure -- Analysis of the Morphological Features of Protein Spatial Structure -- Semantic Analysis for Protein Primary Structure.
520			_aThis monograph addresses, in a systematic and pedagogical manner, the mathematical methods and the algorithms required to deal with the molecularly based problems of bioinformatics. The book will be useful to students, research scientists and practitioners of bioinformatics and related fields, especially those who are interested in the underlying mathematical methods and theory. Among the methods presented in the book, prominent attention is given to pair-wise and multiple sequence alignment algorithms, stochastic models of mutations, modulus structure theory and protein configuration analysis. Strong links to the molecular structures of proteins, DNA and other biomolecules and their analyses are developed. In particular, for proteins an in-depth exposition of secondary structure prediction methods should be a valuable tool in both molecular biology and in applications to rational drug design. The book can also be used as a textbook and for this reason most of the chapters include exercises and problems at the level of a graduate program in bioinformatics.
650		0	_aLife sciences.
650		0	_aHuman genetics.
650		0	_aProteomics.
650		0	_aBioinformatics.
650		0	_aApplied mathematics.
650		0	_aEngineering mathematics.
650		0	_aBiomathematics.
650	1	4	_aLife Sciences.
650	2	4	_aLife Sciences, general.
650	2	4	_aApplications of Mathematics.
650	2	4	_aBioinformatics.
650	2	4	_aProteomics.
650	2	4	_aGenetics and Population Dynamics.
650	2	4	_aHuman Genetics.
700	1		_aTuszynski, Jack A. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783540748908
830		0	_aBiological and Medical Physics, Biomedical Engineering, _x1618-7210
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-540-74891-5
912			_aZDB-2-SBL
950			_aBiomedical and Life Sciences (Springer-11642)
999			_c504108 _d504108