000 | 03266nam a22004455i 4500 | ||
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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 |
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024 | 7 |
_a10.1007/978-3-540-78506-4 _2doi |
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050 | 4 | _aQH324.2-324.25 | |
072 | 7 |
_aPSA _2bicssc |
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072 | 7 |
_aUB _2bicssc |
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072 | 7 |
_aCOM014000 _2bisacsh |
|
082 | 0 | 4 |
_a570.285 _223 |
100 | 1 |
_aSperschneider, Volker. _eauthor. |
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245 | 1 | 0 |
_aBioinformatics _h[electronic resource] : _bProblem Solving Paradigms / _cby Volker Sperschneider. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2008. |
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300 |
_aXVIII, 290 p. 208 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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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 |