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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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 |
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Universiti Sains Malaysia |
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English |
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QA75.5-76.95 Electronic computers Computer science |
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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 |