| 書目名稱 | Parameter Advising for Multiple Sequence Alignment | | 編輯 | Dan DeBlasio,John Kececioglu | | 視頻video | http://file.papertrans.cn/742/741132/741132.mp4 | | 概述 | 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.Introdu | | 叢書名稱 | Computational Biology | | 圖書封面 |  | | 描述 | .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 | | 出版日期 | Book 2017 | | 關(guān)鍵詞 | Bioinformatics; Biological sequence analysis; Multiple sequence alignment; Protein sequence alignment; A | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-64918-4 | | isbn_softcover | 978-3-319-87902-4 | | isbn_ebook | 978-3-319-64918-4Series ISSN 1568-2684 Series E-ISSN 2662-2432 | | issn_series | 1568-2684 | | copyright | Springer International Publishing AG 2017 |
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