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.
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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.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 164 pp. Englisch. Bestandsnummer des Verkäufers 9783847331711
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Abdullah Mohamad FirdausMohamad 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. R. Bestandsnummer des Verkäufers 5510620
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Taschenbuch. Zustand: Neu. Multiple Alignments, Hidden Markov Models and SVMs | Development of a Computational Framework for Protein Homology Detection by Incorporating Realignment Algorithm | Mohamad Firdaus Abdullah (u. a.) | Taschenbuch | 164 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783847331711 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 106667691
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 164 pp. Englisch. Bestandsnummer des Verkäufers 9783847331711
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Taschenbuch. Zustand: Neu. 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. Bestandsnummer des Verkäufers 9783847331711
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