An Enhanced Flower Pollination Algorithm For Multiple Sequence Alignment

Multiple sequence alignment (MSA) is an alignment of three or more sequences. Studies show that MSA exhibits a challenge, that is, how to find the MSA that maximises the Quality (Q) score and Total Column (TC) score. This problem is an NP-complete problem. Hence, numerous researchers have devoted t...

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Main Author: Hussein, Ahmad Moh’d Aziz Issa
Format: Thesis
Language:English
Published: 2020
Subjects:
Online Access:http://eprints.usm.my/55626/
http://eprints.usm.my/55626/1/Ahmad_Hussein_thesis_21_02_2020%20cut.pdf
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author Hussein, Ahmad Moh’d Aziz Issa
author_facet Hussein, Ahmad Moh’d Aziz Issa
author_sort Hussein, Ahmad Moh’d Aziz Issa
building USM Institutional Repository
collection Online Access
description Multiple sequence alignment (MSA) is an alignment of three or more sequences. Studies show that MSA exhibits a challenge, that is, how to find the MSA that maximises the Quality (Q) score and Total Column (TC) score. This problem is an NP-complete problem. Hence, numerous researchers have devoted their efforts to tackle the MSA problem, yet, there is still a shortcoming in the accuracy.
first_indexed 2025-11-15T18:45:58Z
format Thesis
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institution Universiti Sains Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T18:45:58Z
publishDate 2020
recordtype eprints
repository_type Digital Repository
spelling usm-556262022-11-14T03:11:33Z http://eprints.usm.my/55626/ An Enhanced Flower Pollination Algorithm For Multiple Sequence Alignment Hussein, Ahmad Moh’d Aziz Issa QA75.5-76.95 Electronic computers. Computer science Multiple sequence alignment (MSA) is an alignment of three or more sequences. Studies show that MSA exhibits a challenge, that is, how to find the MSA that maximises the Quality (Q) score and Total Column (TC) score. This problem is an NP-complete problem. Hence, numerous researchers have devoted their efforts to tackle the MSA problem, yet, there is still a shortcoming in the accuracy. 2020-02 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/55626/1/Ahmad_Hussein_thesis_21_02_2020%20cut.pdf Hussein, Ahmad Moh’d Aziz Issa (2020) An Enhanced Flower Pollination Algorithm For Multiple Sequence Alignment. PhD thesis, Universiti Sains Malaysia.
spellingShingle QA75.5-76.95 Electronic computers. Computer science
Hussein, Ahmad Moh’d Aziz Issa
An Enhanced Flower Pollination Algorithm For Multiple Sequence Alignment
title An Enhanced Flower Pollination Algorithm For Multiple Sequence Alignment
title_full An Enhanced Flower Pollination Algorithm For Multiple Sequence Alignment
title_fullStr An Enhanced Flower Pollination Algorithm For Multiple Sequence Alignment
title_full_unstemmed An Enhanced Flower Pollination Algorithm For Multiple Sequence Alignment
title_short An Enhanced Flower Pollination Algorithm For Multiple Sequence Alignment
title_sort enhanced flower pollination algorithm for multiple sequence alignment
topic QA75.5-76.95 Electronic computers. Computer science
url http://eprints.usm.my/55626/
http://eprints.usm.my/55626/1/Ahmad_Hussein_thesis_21_02_2020%20cut.pdf