Filtered Distance Matrix For Constructing High-Throughput Multiple Sequence Alignment On Protein Data

Urutan Penjajaran Berganda (MSA) adalah satu proses yang penting dalam biologi pengkomputeran dan bioinformatik. MSA optima adalah masalah NP-keras sementara membina penjajaran optimum menggunakan pengaturcaraan dinamik merupakan masalah NP lengkap. Multiple sequence alignment (MSA) is a signi...

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Main Author: Mohammad Abu-Hashem, Muhannad Abdul-Qader
Format: Thesis
Language:English
Published: 2015
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Online Access:http://eprints.usm.my/30172/1/Muhannad.pdf
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spelling my-usm-ep.301722019-04-12T05:25:49Z Filtered Distance Matrix For Constructing High-Throughput Multiple Sequence Alignment On Protein Data 2015-02 Mohammad Abu-Hashem, Muhannad Abdul-Qader QA75.5-76.95 Electronic computers. Computer science Urutan Penjajaran Berganda (MSA) adalah satu proses yang penting dalam biologi pengkomputeran dan bioinformatik. MSA optima adalah masalah NP-keras sementara membina penjajaran optimum menggunakan pengaturcaraan dinamik merupakan masalah NP lengkap. Multiple sequence alignment (MSA) is a significant process in computational biology and bioinformatics. Optimal MSA is an NP-hard problem, while building optimal alignment using dynamic programming is an NP complete problem. Although numerous algorithms have been proposed for MSA, producing an efficient MSA with high accuracy remains a huge challenge. 2015-02 Thesis http://eprints.usm.my/30172/ http://eprints.usm.my/30172/1/Muhannad.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Komputer
institution Universiti Sains Malaysia
collection USM Institutional Repository
language English
topic QA75.5-76.95 Electronic computers
Computer science
spellingShingle QA75.5-76.95 Electronic computers
Computer science
Mohammad Abu-Hashem, Muhannad Abdul-Qader
Filtered Distance Matrix For Constructing High-Throughput Multiple Sequence Alignment On Protein Data
description Urutan Penjajaran Berganda (MSA) adalah satu proses yang penting dalam biologi pengkomputeran dan bioinformatik. MSA optima adalah masalah NP-keras sementara membina penjajaran optimum menggunakan pengaturcaraan dinamik merupakan masalah NP lengkap. Multiple sequence alignment (MSA) is a significant process in computational biology and bioinformatics. Optimal MSA is an NP-hard problem, while building optimal alignment using dynamic programming is an NP complete problem. Although numerous algorithms have been proposed for MSA, producing an efficient MSA with high accuracy remains a huge challenge.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Mohammad Abu-Hashem, Muhannad Abdul-Qader
author_facet Mohammad Abu-Hashem, Muhannad Abdul-Qader
author_sort Mohammad Abu-Hashem, Muhannad Abdul-Qader
title Filtered Distance Matrix For Constructing High-Throughput Multiple Sequence Alignment On Protein Data
title_short Filtered Distance Matrix For Constructing High-Throughput Multiple Sequence Alignment On Protein Data
title_full Filtered Distance Matrix For Constructing High-Throughput Multiple Sequence Alignment On Protein Data
title_fullStr Filtered Distance Matrix For Constructing High-Throughput Multiple Sequence Alignment On Protein Data
title_full_unstemmed Filtered Distance Matrix For Constructing High-Throughput Multiple Sequence Alignment On Protein Data
title_sort filtered distance matrix for constructing high-throughput multiple sequence alignment on protein data
granting_institution Universiti Sains Malaysia
granting_department Pusat Pengajian Sains Komputer
publishDate 2015
url http://eprints.usm.my/30172/1/Muhannad.pdf
_version_ 1747820301103661056