Items related to Multiple Alignments, Hidden Markov Models and SVMs:...
Multiple Alignments, Hidden Markov Models and SVMs: Development of a Computational Framework for Protein Homology Detection by Incorporating Realignment Algorithm - Softcover
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.
"synopsis" may belong to another edition of this title.
About the Author
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.
"About this title" may belong to another edition of this title.
Search results for Multiple Alignments, Hidden Markov Models and SVMs:...
Seller Image
Multiple Alignments, Hidden Markov Models and SVMs
Published by
LAP LAMBERT Academic Publishing Jan 2012, 2012
ISBN 10: 384733171X
ISBN 13: 9783847331711
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9783847331711
Seller Image
Multiple Alignments, Hidden Markov Models and SVMs
Published by
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 384733171X
ISBN 13: 9783847331711
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: 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. Seller Inventory # 5510620
Buy New
£ 48.67
£ 41.93 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: Over 20 available
Seller Image
Multiple Alignments, Hidden Markov Models and SVMs | Development of a Computational Framework for Protein Homology Detection by Incorporating Realignment Algorithm
Published by
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 384733171X
ISBN 13: 9783847331711
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 106667691
Seller Image
Multiple Alignments, Hidden Markov Models and SVMs
Published by
LAP LAMBERT Academic Publishing Jan 2012, 2012
ISBN 10: 384733171X
ISBN 13: 9783847331711
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9783847331711
Seller Image
Multiple Alignments, Hidden Markov Models and SVMs : Development of a Computational Framework for Protein Homology Detection by Incorporating Realignment Algorithm
Published by
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 384733171X
ISBN 13: 9783847331711
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9783847331711
Stock Image
Multiple Alignments, Hidden Markov Models and SVMs: Development of a Computational Framework for Protein Homology Detection by Incorporating Realignment Algorithm
Published by
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 384733171X
ISBN 13: 9783847331711
Used
Paperback
Seller: Mispah books, Redhill, SURRE, United Kingdom
Seller rating 4 out of 5 stars
Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Seller Inventory # ERICA758384733171X5
Buy Used
£ 186
£ 25 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 1 available