Parameter Advising for Multiple Sequence Alignment - Couverture souple

Livre 13 sur 21: Computational Biology

DeBlasio, Dan ; Kececioglu, John

9783319879024: Parameter Advising for Multiple Sequence Alignment

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ISBN 10 : 3319879022 ISBN 13 : 9783319879024

Editeur : Springer, 2019

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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

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer
Date d'�dition: 2019
Langue: anglais
ISBN 10: 3319879022
ISBN 13: 9783319879024
Reliure: Broch�
Nombre de pages: 168
Coordonn�es du fabricant: ProductSafety@springernature.com
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Parameter Advising for Multiple Sequence Alignment (eng)

DeBlasio, Dan

Edit� par Springer, 2019

ISBN 10 : 3319879022 ISBN 13 : 9783319879024

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Parameter Advising for Multiple Sequence Alignment (Computational Biology, 26)

DeBlasio, Dan; Kececioglu, John

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Parameter Advising for Multiple Sequence Alignment

DeBlasio, Dan; Kececioglu, John

Edit� par Springer, 2019

ISBN 10 : 3319879022 ISBN 13 : 9783319879024

Neuf Couverture souple

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Parameter Advising for Multiple Sequence Alignment (Computational Biology)

Dan DeBlasio, John Kececioglu

Edit� par Springer 2019-06-06, 2019

ISBN 10 : 3319879022 ISBN 13 : 9783319879024

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Parameter Advising for Multiple Sequence Alignment

John Kececioglu

Edit� par Springer International Publishing Jun 2019, 2019

ISBN 10 : 3319879022 ISBN 13 : 9783319879024

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Taschenbuch. Etat : 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. N� de r�f. du vendeur 9783319879024

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Parameter Advising for Multiple Sequence Alignment

Deblasio, Dan/ Kececioglu, John

Edit� par Springer-Verlag New York Inc, 2019

ISBN 10 : 3319879022 ISBN 13 : 9783319879024

Neuf Paperback

Vendeur : Revaluation Books, Exeter, Royaume-Uni

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Paperback. Etat : Brand New. reprint edition. 168 pages. 9.25x6.10x0.40 inches. In Stock. N� de r�f. du vendeur x-3319879022

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Parameter Advising for Multiple Sequence Alignment

Dan DeBlasio|John Kececioglu

Edit� par Springer International Publishing, 2019

ISBN 10 : 3319879022 ISBN 13 : 9783319879024

Neuf Couverture souple

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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. N� de r�f. du vendeur 294884868

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Parameter Advising for Multiple Sequence Alignment

John Kececioglu

Edit� par Springer International Publishing, Springer International Publishing Jun 2019, 2019

ISBN 10 : 3319879022 ISBN 13 : 9783319879024

Neuf Taschenbuch

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 168 pp. Englisch. N� de r�f. du vendeur 9783319879024

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Parameter Advising for Multiple Sequence Alignment

John Kececioglu

Edit� par Springer International Publishing, Springer International Publishing, 2019

ISBN 10 : 3319879022 ISBN 13 : 9783319879024

Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9783319879024

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