000			04091nam a22005535i 4500
001			978-3-540-69022-1
003			DE-He213
005			20161121230614.0
007			cr nn 008mamaa
008			100301s2007 gw | s |||| 0|eng d
020			_a9783540690221 _9978-3-540-69022-1
024	7		_a10.1007/978-3-540-69022-1 _2doi
050		4	_aQA75.5-76.95
072		7	_aUY _2bicssc
072		7	_aUYA _2bicssc
072		7	_aCOM014000 _2bisacsh
072		7	_aCOM031000 _2bisacsh
082	0	4	_a004.0151 _223
100	1		_aPolanski, Andrzej. _eauthor.
245	1	0	_aBioinformatics _h[electronic resource] / _cby Andrzej Polanski, Marek Kimmel.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2007.
300			_aXVII, 376 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aMathematical and Computational Methods -- Probability and Statistics -- Computer Science Algorithms -- Pattern Analysis -- Optimization -- Applications -- Sequence Alignment -- Molecular Phylogenetics -- Genomics -- Proteomics -- RNA -- DNA Microarrays -- Bioinformatic Databases and Bioinformatic Internet Resources.
520			_aBioinformatics as a discipline arose out of the need to introduce order into the massive data sets produced by the new technologies of molecular biology: large-scale DNA sequencing, measurements of RNA concentrations in multiple gene expression arrays, and new profiling techniques in proteomics. As such, bioinformatics integrates a number of traditional quantitative sciences such as mathematics, statistics, computer science and cybernetics with biological sciences such as genetics, genomics, proteomics and molecular evolution. In this comprehensive textbook, Polanski and Kimmel present mathematical models in bioinformatics and they describe the biological problems that inspire the computer science tools used to handle the enormous data sets involved. The first part of the book covers the mathematical and computational methods, while the practical applications are presented in the second part. The mathematical presentation is descriptive and avoids unnecessary formalism, and yet remains clear and precise. Emphasis is laid on motivation through biological problems and cross applications. Each of the four chapters in the first part is accompanied by exercises and problems to support an understanding of the techniques presented. Each of the six chapters of the second part is devoted to some specific application domain: sequence alignment, molecular phylogenetics and coalescence theory, genomics, proteomics, RNA, and DNA microarrays. Each chapter concludes with a problems and projects section, to deepen the reader's understanding and to allow for the design of derived methods. Many of the projects involve publicly available software and/or Web-based bioinformatics depositories. Finally, the book closes with a thorough bibliography, reaching from classic research results to very recent findings, providing many pointers for future research.Overall, this volume is ideally suited for a senior undergraduate or graduate course on bioinformatics, with a strong focus on its mathematical and computer science background.
650		0	_aComputer science.
650		0	_aComputers.
650		0	_aPattern recognition.
650		0	_aBioinformatics.
650		0	_aLife sciences.
650		0	_aComputational biology.
650	1	4	_aComputer Science.
650	2	4	_aTheory of Computation.
650	2	4	_aLife Sciences, general.
650	2	4	_aComputational Biology/Bioinformatics.
650	2	4	_aBioinformatics.
650	2	4	_aComputer Appl. in Life Sciences.
650	2	4	_aPattern Recognition.
700	1		_aKimmel, Marek. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783540241669
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-540-69022-1
912			_aZDB-2-SCS
950			_aComputer Science (Springer-11645)
999			_c501267 _d501267