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portada Multiple Alignments, Hidden Markov Models and Svms
Multiple Alignments, Hidden Markov Models and SvmsMultiple Alignments, Hidden Markov Models and SvmsMultiple Alignments, Hidden Markov Models and Svms
Type
Physical Book
Year
2012
Language
English
Pages
164
Format
Paperback
ISBN
384733171x
ISBN13
9783847331711
Categories

Multiple Alignments, Hidden Markov Models and Svms

Mohamad Firdaus Abdullah|Razib M Othman (Author) · Lap Lambert Academic Publishing · Paperback

Multiple Alignments, Hidden Markov Models and Svms - Mohamad Firdaus Abdullah|Razib M Othman

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Synopsis "Multiple Alignments, Hidden Markov Models and Svms"

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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