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

Abdullah, Mohamad Firdaus; Othman, Razib M

 
9783847331711: Multiple Alignments, Hidden Markov Models and SVMs: Development of a Computational Framework for Protein Homology Detection by Incorporating Realignment Algorithm
Couverture souple
ISBN 10 : 384733171X ISBN 13 : 9783847331711
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

Mohamad Firdaus Abdullah has obtained his Masters Degree in Computer Science in 2010. Since then he has joined the industry and worked as internal software developer for a local based company in Malaysia.Dr. Razib M. Othman has obtained his PhD in Computer Science in 2008. Since then he has published numerous journal papers and book chapters.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
384733171X
ISBN 13 
9783847331711
Reliure
Broché
Nombre de pages
164
Coordonnées du fabricant
non disponible
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