Multiple Alignments, Hidden Markov Models and SVMs : Development of a Computational Framework for Protein Homology Detection by Incorporating Realignment Algorithm

Language: English

Published by LAP LAMBERT Academic Publishing, 2012

384733171X / 9783847331711

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - Remote protein homology detection is a problem of detecting evolutionary relationship between proteins at low sequence similarity level. Among several problems in remote protein homology detection include the questions of determining which combination of multiple alignment and classification techniques is the best as well as the misalignment of protein sequences during the alignment process. Therefore, this study deals with remote protein homology detection via assessing the impact of using structural information on protein multiple alignments over sequence information. This study further presents the best combinations of multiple alignment and classification programs to be chosen. This study also improves the quality of the multiple alignments via integration of a refinement algorithm.

Seller Inventory # 9783847331711

Title
Multiple Alignments, Hidden Markov Models and SVMs : Development of a Computational Framework for Protein Homology Detection by Incorporating Realignment Algorithm
Author
Mohamad Firdaus Abdullah
Publisher
LAP LAMBERT Academic Publishing
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
384733171X
ISBN 13
9783847331711
Item weight
262 grams
Dimensions
220x150x10 mm

AHA-BUCH GmbH

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