000			03479nam a22004695i 4500
001			978-0-387-09760-2
003			DE-He213
005			20170628033226.0
007			cr nn 008mamaa
008			101029s2011 xxu| s |||| 0|eng d
020			_a9780387097602 _9978-0-387-09760-2
024	7		_a10.1007/978-0-387-09760-2 _2doi
050		4	_aQH324.2-324.25
072		7	_aPSA _2bicssc
072		7	_aUB _2bicssc
072		7	_aCOM014000 _2bisacsh
082	0	4	_a570.285 _223
100	1		_aHeath, Lenwood S. _eeditor.
245	1	0	_aProblem Solving Handbook in Computational Biology and Bioinformatics _h[electronic resource] / _cedited by Lenwood S. Heath, Naren Ramakrishnan.
264		1	_aBoston, MA : _bSpringer US, _c2011.
300			_aXVII, 347 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aPreface -- Pairwise Sequence Alignment -- Sequence and Sequence Alignment Statistics -- Practical Multiple Sequence Alignment -- Phylogenetic Trees from Sequences -- Phylogenetic Networks -- Modern BLAST Programs -- Stochastic Calculus and Stochastic Simulation -- Genomic Sequence Comparison -- Genome Rearrangements -- Population Genetics Data Analysis -- Genome Wide Association Studies -- Practical Implications of Coalescent Theory -- Networks in Computational Systems Biology -- Practical Use of the Gene Ontology -- Techniques for Protein Structure -- Microarray Experiment Statistics -- Reasoning with Protein Contact Maps -- Identifying Modules in Protein-Protein Interaction Networks -- Motifs for Transcriptional Regulation -- Time Course Analysis -- Computational Simulation of Biochemical Networks -- Biomedical Data Integration -- Functional Annotation and Discovery -- Matrix and Tensor Decompositions -- Text Processing and Mining -- Formal Logics -- Index.
520			_aBioinformatics is growing by leaps and bounds; theories/algorithms/statistical techniques are constantly evolving. Nevertheless, a core body of algorithmic ideas have emerged and researchers are beginning to adopt a "problem solving" approach to bioinformatics, wherein they use solutions to well-abstracted problems as building blocks to solve larger scope problems. Problem Solving Handbook for Computational Biology and Bioinformatics is an edited volume contributed by world renowned leaders in this field. This comprehensive handbook with problem solving emphasis, covers all relevant areas of computational biology and bioinformatics. Web resources and related themes are highlighted at every opportunity in this central easy-to-read reference. Designed for advanced-level students, researchers and professors in computer science and bioengineering as a reference or secondary text, this handbook is also suitable for professionals working in this industry.
650		0	_aComputer science.
650		0	_aComputer software.
650		0	_aBioinformatics.
650	1	4	_aComputer Science.
650	2	4	_aComputational Biology/Bioinformatics.
650	2	4	_aAlgorithm Analysis and Problem Complexity.
650	2	4	_aBioinformatics.
700	1		_aRamakrishnan, Naren. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387097596
856	4	0	_uhttp://dx.doi.org/10.1007/978-0-387-09760-2
912			_aZDB-2-SCS
999			_c14200 _d14200