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

Abdullah, Mohamad Firdaus, Othman, Razib M

ISBN 10: 384733171X / ISBN 13: 9783847331711

Published by LAP LAMBERT Academic Publishing, 2012

About this Item

LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS.

Seller Inventory # ERICA758384733171X5

Bibliographic Details

• Title: Multiple Alignments, Hidden Markov Models and SVMs: Development of a Computational Framework for Protein Homology Detection by Incorporating Realignment Algorithm
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2012
• Language: English
• ISBN 10: 384733171X
• ISBN 13: 9783847331711
• Binding: Paperback
• Condition: Like New
• Book Type: book

About this title

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.

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.