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Adapting And Enhancing Hybrid Computational Methods For RNA Secondary Structure Prediction

The secondary structure of RNA with pseudoknots is widely utilized for tracing the RNA tertiary structure, which is a key to understanding the functions of the RNAs and their useful roles in developing drugs for viral diseases. Experimental methods for determining RNA tertiary structure are time con...

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Main Author: Al-Khatib, Ra’ed Mohammad Ali
Format: Thesis
Language:English
Published: 2011
Subjects:
QA75.5-76.95 Electronic computers. Computer science
Online Access:http://eprints.usm.my/43465/1/RA%E2%80%99ED%20MOHAMMAD%20ALI%20AL-KHATIB.pdf
http://eprints.usm.my/43465/
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spelling my.usm.eprints.43465 http://eprints.usm.my/43465/ Adapting And Enhancing Hybrid Computational Methods For RNA Secondary Structure Prediction Al-Khatib, Ra’ed Mohammad Ali QA75.5-76.95 Electronic computers. Computer science The secondary structure of RNA with pseudoknots is widely utilized for tracing the RNA tertiary structure, which is a key to understanding the functions of the RNAs and their useful roles in developing drugs for viral diseases. Experimental methods for determining RNA tertiary structure are time consuming and tedious. Therefore, predictive computational approaches are required. Predicting the most accurate and energy-stable pseudoknot RNA secondary structure has been proven to be an NP-hard problem. This thesis presents a hybrid method to predict the RNA pseudoknot secondary structures by combining detection methods with dynamic programming algorithms. 2011-12 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/43465/1/RA%E2%80%99ED%20MOHAMMAD%20ALI%20AL-KHATIB.pdf Al-Khatib, Ra’ed Mohammad Ali (2011) Adapting And Enhancing Hybrid Computational Methods For RNA Secondary Structure Prediction. PhD thesis, Universiti Sains Malaysia.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic QA75.5-76.95 Electronic computers. Computer science
spellingShingle QA75.5-76.95 Electronic computers. Computer science
Al-Khatib, Ra’ed Mohammad Ali
Adapting And Enhancing Hybrid Computational Methods For RNA Secondary Structure Prediction
description The secondary structure of RNA with pseudoknots is widely utilized for tracing the RNA tertiary structure, which is a key to understanding the functions of the RNAs and their useful roles in developing drugs for viral diseases. Experimental methods for determining RNA tertiary structure are time consuming and tedious. Therefore, predictive computational approaches are required. Predicting the most accurate and energy-stable pseudoknot RNA secondary structure has been proven to be an NP-hard problem. This thesis presents a hybrid method to predict the RNA pseudoknot secondary structures by combining detection methods with dynamic programming algorithms.
format Thesis
author Al-Khatib, Ra’ed Mohammad Ali
author_facet Al-Khatib, Ra’ed Mohammad Ali
author_sort Al-Khatib, Ra’ed Mohammad Ali
title Adapting And Enhancing Hybrid Computational Methods For RNA Secondary Structure Prediction
title_short Adapting And Enhancing Hybrid Computational Methods For RNA Secondary Structure Prediction
title_full Adapting And Enhancing Hybrid Computational Methods For RNA Secondary Structure Prediction
title_fullStr Adapting And Enhancing Hybrid Computational Methods For RNA Secondary Structure Prediction
title_full_unstemmed Adapting And Enhancing Hybrid Computational Methods For RNA Secondary Structure Prediction
title_sort adapting and enhancing hybrid computational methods for rna secondary structure prediction
publishDate 2011
url http://eprints.usm.my/43465/1/RA%E2%80%99ED%20MOHAMMAD%20ALI%20AL-KHATIB.pdf
http://eprints.usm.my/43465/
_version_ 1643710751330795520
score 13.223943

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