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Multiple Alignments, Hidden Markov Models and SVMs - Mohamad Firdaus Abdullah
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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. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Biologie / Biochemie & Biophysik

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Multiple Alignments, Hidden Markov Models and Svms - Mohamad Firdaus Abdullah
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Paperback, [PU: LAP Lambert Academic Publishing], 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., Biochemistry

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Multiple Alignments, Hidden Markov Models and Svms, Development of a Computational Framework for Protein Homology Detection by Incorporating Realignment Algorithm - Mohamad Firdaus Abdullah, Razib M Othman
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2012, ISBN: 9783847331711

ID: 9200000001512275

Taal: Engels; Afmetingen: 10x229x152 mm; Gewicht: 249,00 gram; Verschijningsdatum: januari 2012; ISBN10: 384733171X; ISBN13: 9783847331711; , Engelstalig | Paperback | 2012, Studie & Management, Exacte wetenschappen, Levenswetenschappen, School en studie, Exacte wetenschappen, Levenswetenschappen (biologie, biochemie & meer), Studie & Management, Exacte wetenschappen, Scheikunde, Lap Lambert Academic Publishing

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Multiple Alignments, Hidden Markov Models and SVMs: Development of a Computational Framework for Protein Homology Detection by Incorporating Realignment Algorithm - Mohamad Firdaus Abdullah, Razib M Othman
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ISBN: 384733171X

[SR: 3094811], Taschenbuch, [EAN: 9783847331711], LAP LAMBERT Academic Publishing, LAP LAMBERT Academic Publishing, Book, [PU: LAP LAMBERT Academic Publishing], LAP LAMBERT Academic Publishing, 56087011, Biochemie, 56458011, Biowissenschaften, 56047011, Wissenschaft, 54071011, Genres, 52044011, Fremdsprachige Bücher

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Multiple Alignments, Hidden Markov Models and SVMs - Mohamad Firdaus Abdullah; Razib M Othman
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Details zum Buch
Multiple Alignments, Hidden Markov Model: Development of a Computational Framework for Protein Homology Detection by Incorporating Realignment Algorithm
Autor:

Abdullah, Mohamad Firdaus / Othman, Razib M

Titel:

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

ISBN-Nummer:

Remote protein homology detection is a problem of detecting evolutionary relationship between protei....

Detailangaben zum Buch - Multiple Alignments, Hidden Markov Model: Development of a Computational Framework for Protein Homology Detection by Incorporating Realignment Algorithm


EAN (ISBN-13): 9783847331711
ISBN (ISBN-10): 384733171X
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2012
Herausgeber: LAP LAMBERT Academic Publishing

Buch in der Datenbank seit 01.07.2008 21:34:52
Buch zuletzt gefunden am 29.06.2017 08:08:01
ISBN/EAN: 384733171X

ISBN - alternative Schreibweisen:
3-8473-3171-X, 978-3-8473-3171-1


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