A genetic similarity algorithm for searching the Gene Ontology terms and annotating anonymous protein sequences
A genetic similarity algorithm is introduced in this study to find a group of semantically similar Gene Ontology terms. The genetic similarity algorithm combines semantic similarity measure algorithm with parallel genetic algorithm. The semantic similarity measure algorithm is used to compute the si...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier Inc.
2008
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| Online Access: | http://eprints.utm.my/7281/ http://eprints.utm.my/7281/1/RazibMOthman2008_AGeneticSimilarityAlgorithm.pdf |
| _version_ | 1848891435541069824 |
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| author | M. Othman, Razib Deris, Safaai Md. IIlias, Rosli |
| author_facet | M. Othman, Razib Deris, Safaai Md. IIlias, Rosli |
| author_sort | M. Othman, Razib |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | A genetic similarity algorithm is introduced in this study to find a group of semantically similar Gene Ontology terms. The genetic similarity algorithm combines semantic similarity measure algorithm with parallel genetic algorithm. The semantic similarity measure algorithm is used to compute the similitude strength between the Gene Ontology terms. Then, the parallel genetic algorithm is employed to perform batch retrieval and to accelerate the search in large search space of the Gene Ontology graph. The genetic similarity algorithm is implemented in the Gene Ontology browser named basic UTMGO to overcome the weaknesses of the existing Gene Ontology browsers which use a conventional approach based on keyword matching. To show the applicability of the basic UTMGO, we extend its structure to develop a Gene Ontology -based protein sequence annotation tool named extended UTMGO. The objective of developing the extended UTMGO is to provide a simple and practical tool that is capable of producing better results and requires a reasonable amount of running time with low computing cost specifically for offline usage. The computational results and comparison with other related tools are presented to show the effectiveness of the proposed algorithm and tools. |
| first_indexed | 2025-11-15T20:57:55Z |
| format | Article |
| id | utm-7281 |
| institution | Universiti Teknologi Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T20:57:55Z |
| publishDate | 2008 |
| publisher | Elsevier Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utm-72812022-04-29T21:53:47Z http://eprints.utm.my/7281/ A genetic similarity algorithm for searching the Gene Ontology terms and annotating anonymous protein sequences M. Othman, Razib Deris, Safaai Md. IIlias, Rosli TP Chemical technology A genetic similarity algorithm is introduced in this study to find a group of semantically similar Gene Ontology terms. The genetic similarity algorithm combines semantic similarity measure algorithm with parallel genetic algorithm. The semantic similarity measure algorithm is used to compute the similitude strength between the Gene Ontology terms. Then, the parallel genetic algorithm is employed to perform batch retrieval and to accelerate the search in large search space of the Gene Ontology graph. The genetic similarity algorithm is implemented in the Gene Ontology browser named basic UTMGO to overcome the weaknesses of the existing Gene Ontology browsers which use a conventional approach based on keyword matching. To show the applicability of the basic UTMGO, we extend its structure to develop a Gene Ontology -based protein sequence annotation tool named extended UTMGO. The objective of developing the extended UTMGO is to provide a simple and practical tool that is capable of producing better results and requires a reasonable amount of running time with low computing cost specifically for offline usage. The computational results and comparison with other related tools are presented to show the effectiveness of the proposed algorithm and tools. Elsevier Inc. 2008-02-01 Article PeerReviewed application/pdf en http://eprints.utm.my/7281/1/RazibMOthman2008_AGeneticSimilarityAlgorithm.pdf M. Othman, Razib and Deris, Safaai and Md. IIlias, Rosli (2008) A genetic similarity algorithm for searching the Gene Ontology terms and annotating anonymous protein sequences. Journal of Biomedical Informatics, 41 (1). pp. 65-81. ISSN 1532-0464 http://dx.doi.org/10.1016/j.jbi.2007.05.010 doi:10.1016/j.jbi.2007.05.010 |
| spellingShingle | TP Chemical technology M. Othman, Razib Deris, Safaai Md. IIlias, Rosli A genetic similarity algorithm for searching the Gene Ontology terms and annotating anonymous protein sequences |
| title | A genetic similarity algorithm for searching the Gene Ontology terms and annotating anonymous protein sequences |
| title_full | A genetic similarity algorithm for searching the Gene Ontology terms and annotating anonymous protein sequences |
| title_fullStr | A genetic similarity algorithm for searching the Gene Ontology terms and annotating anonymous protein sequences |
| title_full_unstemmed | A genetic similarity algorithm for searching the Gene Ontology terms and annotating anonymous protein sequences |
| title_short | A genetic similarity algorithm for searching the Gene Ontology terms and annotating anonymous protein sequences |
| title_sort | genetic similarity algorithm for searching the gene ontology terms and annotating anonymous protein sequences |
| topic | TP Chemical technology |
| url | http://eprints.utm.my/7281/ http://eprints.utm.my/7281/ http://eprints.utm.my/7281/ http://eprints.utm.my/7281/1/RazibMOthman2008_AGeneticSimilarityAlgorithm.pdf |