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Parameter Advising for Multiple Sequence Alignment (Computational Biology, 26) - Softcover
Book 13 of 21: Computational Biology
Synopsis
Presents practical approaches to the pervasive question of how to choose parameter settings for sequence alignment
Provides links to proven software implementations that work well on real data
Introduces a general framework for parameter advising of broad utility in bioinformatics and beyond
"synopsis" may belong to another edition of this title.
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Parameter Advising for Multiple Sequence Alignment
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Parameter Advising for Multiple Sequence Alignment (eng)
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Parameter Advising for Multiple Sequence Alignment (Paperback or Softback)
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Springer 6/6/2019, 2019
ISBN 10: 3319879022
ISBN 13: 9783319879024
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Parameter Advising for Multiple Sequence Alignment (Computational Biology, 26)
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Parameter Advising for Multiple Sequence Alignment
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Parameter Advising for Multiple Sequence Alignment
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Parameter Advising for Multiple Sequence Alignment (Computational Biology, 26)
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Parameter Advising for Multiple Sequence Alignment
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Parameter Advising for Multiple Sequence Alignment
Published by
Springer International Publishing Jun 2019, 2019
ISBN 10: 3319879022
ISBN 13: 9783319879024
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book develops a new approach called parameter advising for finding a parameter setting for a sequence aligner that yields a quality alignment of a given set of input sequences. In this framework, a parameter advisor is a procedure that automatically chooses a parameter setting for the input, and has two main ingredients: (a) the set of parameter choices considered by the advisor, and (b) an estimator of alignment accuracy used to rank alignments produced by the aligner. On coupling a parameter advisor with an aligner, once the advisor is trained in a learning phase, the user simply inputs sequences to align, and receives an output alignment from the aligner, where the advisor has automatically selected the parameter setting. The chapters first lay out the foundations of parameter advising, and then cover applications and extensions of advising. The content - examines formulations of parameter advising and their computational complexity, - develops methods for learning good accuracy estimators, - presents approximation algorithms for finding good sets of parameter choices, and - assesses software implementations of advising that perform well on real biological data. Also explored are applications of parameter advising to - adaptive local realignment, where advising is performed on local regions of the sequences to automatically adapt to varying mutation rates, and - ensemble alignment, where advising is applied to an ensemble of aligners to effectively yield a new aligner of higher quality than the individual aligners in the ensemble. The book concludes by offering future directions in advising research. 168 pp. Englisch. Seller Inventory # 9783319879024
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Parameter Advising for Multiple Sequence Alignment
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