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...

Full description

Saved in:
Bibliographic Details
Main Author: Hussein, Ahmad Moh’d Aziz Issa
Format: Thesis
Language:English
Published: 2020
Subjects:
Online Access:http://eprints.usm.my/55626/1/Ahmad_Hussein_thesis_21_02_2020%20cut.pdf
http://eprints.usm.my/55626/
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Sains Malaysia
Language: English
id my.usm.eprints.55626
record_format eprints
spelling my.usm.eprints.55626 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.
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
Hussein, Ahmad Moh’d Aziz Issa
An Enhanced Flower Pollination Algorithm For Multiple Sequence Alignment
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.
format Thesis
author Hussein, Ahmad Moh’d Aziz Issa
author_facet Hussein, Ahmad Moh’d Aziz Issa
author_sort Hussein, Ahmad Moh’d Aziz Issa
title An Enhanced Flower Pollination Algorithm For Multiple Sequence Alignment
title_short 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_sort enhanced flower pollination algorithm for multiple sequence alignment
publishDate 2020
url http://eprints.usm.my/55626/1/Ahmad_Hussein_thesis_21_02_2020%20cut.pdf
http://eprints.usm.my/55626/
_version_ 1751537252438114304