Evoscan : a probabilistic framework for gene annotation using comparative genomics

Evoscan : a probabilistic framework for gene annotation using comparative genomics

Evoscan is based on a (pseudo higher-order) evolutionary hidden Markov model that integrates phylogenetic information into 'Genscan" code based on Twinscan. Its three major components consist of probabilistic models of both the DNA sequence, phylogenetic information of two or more closely...

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Main Author: Sangireddy Venugopal Reddy.
Other Authors: Rajapakse, Jagath Chandana
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Online Access:http://hdl.handle.net/10356/2439
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-2439
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spelling sg-ntu-dr.10356-24392023-03-04T00:29:03Z Evoscan : a probabilistic framework for gene annotation using comparative genomics Sangireddy Venugopal Reddy. Rajapakse, Jagath Chandana School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences Evoscan is based on a (pseudo higher-order) evolutionary hidden Markov model that integrates phylogenetic information into 'Genscan" code based on Twinscan. Its three major components consist of probabilistic models of both the DNA sequence, phylogenetic information of two or more closely related organisms as well as a dynamic programming framework. Evoscan software has an object oriented design and is implemented using ANSI C/C++ and makes use of public domain source code of Twinscan and Evogene softwares. In this implementation, the initial results indicate to improve the prediction accuracy. Master of Science (Bioinformatics) 2008-09-17T09:03:02Z 2008-09-17T09:03:02Z 2004 2004 Thesis http://hdl.handle.net/10356/2439 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
spellingShingle DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
Sangireddy Venugopal Reddy.
Evoscan : a probabilistic framework for gene annotation using comparative genomics
description Evoscan is based on a (pseudo higher-order) evolutionary hidden Markov model that integrates phylogenetic information into 'Genscan" code based on Twinscan. Its three major components consist of probabilistic models of both the DNA sequence, phylogenetic information of two or more closely related organisms as well as a dynamic programming framework. Evoscan software has an object oriented design and is implemented using ANSI C/C++ and makes use of public domain source code of Twinscan and Evogene softwares. In this implementation, the initial results indicate to improve the prediction accuracy.
author2 Rajapakse, Jagath Chandana
author_facet Rajapakse, Jagath Chandana
Sangireddy Venugopal Reddy.
format Theses and Dissertations
author Sangireddy Venugopal Reddy.
author_sort Sangireddy Venugopal Reddy.
title Evoscan : a probabilistic framework for gene annotation using comparative genomics
title_short Evoscan : a probabilistic framework for gene annotation using comparative genomics
title_full Evoscan : a probabilistic framework for gene annotation using comparative genomics
title_fullStr Evoscan : a probabilistic framework for gene annotation using comparative genomics
title_full_unstemmed Evoscan : a probabilistic framework for gene annotation using comparative genomics
title_sort evoscan : a probabilistic framework for gene annotation using comparative genomics
publishDate 2008
url http://hdl.handle.net/10356/2439
_version_ 1759854979765501952

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