000 03266nam a22004455i 4500
001 978-3-540-78506-4
003 DE-He213
005 20161121230719.0
007 cr nn 008mamaa
008 100301s2008 gw | s |||| 0|eng d
020 _a9783540785064
_9978-3-540-78506-4
024 7 _a10.1007/978-3-540-78506-4
_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 _aSperschneider, Volker.
_eauthor.
245 1 0 _aBioinformatics
_h[electronic resource] :
_bProblem Solving Paradigms /
_cby Volker Sperschneider.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2008.
300 _aXVIII, 290 p. 208 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aCore Bioinformatics Problems -- Turning to Algorithmic Problems -- Dynamic Programming -- Intelligent Data Structures -- NP-Hardness of Core Bioinformatics Problems -- Approximation Algorithms -- A Selection of Metaheuristics and Various Projects.
520 _aThere are fundamental principles for problem analysis and algorithm design that are continuously used in bioinformatics. This book concentrates on a clear presentation of these principles, presenting them in a self-contained, mathematically clear and precise manner, and illustrating them with lots of case studies from main fields of bioinformatics (e.g. sequencing and mapping, string storage and manipulation, pattern matching, alignment, gene identification, genome rearrangement, structure prediction, regulatory networks, pseudoknot detection). Emphasis is laid on algorithmic "pearls" of bioinformatics, showing that things may get rather simple when taking a proper view into them. The book closes with a thorough bibliography, ranging 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. This book highlights basic paradigms of problem analysis and algorithm design in the context of core bioinformatics problems. Mathematically demanding themes are put across to the reader by properly chosen representations with the aid of lots of illustrations. (Prof. Dr. Amitava Datta, UWA, Perth, Australia) Written by a theoretical computer scientist, the book perfectly complements standard textbooks from the point of view of problem solving methods continuously applied in bioinformatics. (Prof. Dr. Georg Fuellen, Univ. Greifswald, Germany).
650 0 _aComputer science.
650 0 _aAlgorithms.
650 0 _aBioinformatics.
650 1 4 _aComputer Science.
650 2 4 _aComputational Biology/Bioinformatics.
650 2 4 _aAlgorithm Analysis and Problem Complexity.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540785057
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-78506-4
912 _aZDB-2-SCS
950 _aComputer Science (Springer-11645)
999 _c502883
_d502883