A Novel Optimized Approach for Gene Identification in DNA Sequences
Gene identification is an open optimization problem in Bioinformatics. Exponential growth of biological data needs efficient methods for protein translation. Several approaches have been proposed that rely on indicator sequences, statistical and DSP techniques but yet an optimized procedure is requi...
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| Format: | Citation Index Journal |
| Language: | English English |
| Published: |
Science Aleret
2011
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| Online Access: | http://scholars.utp.edu.my/id/eprint/3156/ http://scholars.utp.edu.my/id/eprint/3156/1/IC-22776-JAS-ANSI%20.pdf http://scholars.utp.edu.my/id/eprint/3156/2/22776-22776.pdf |
| _version_ | 1848659360092258304 |
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| author | Ahmad, Muneer Azween, Abdullah Buragga, Khalid |
| author_facet | Ahmad, Muneer Azween, Abdullah Buragga, Khalid |
| author_sort | Ahmad, Muneer |
| building | UTP Institutional Repository |
| collection | Online Access |
| description | Gene identification is an open optimization problem in Bioinformatics. Exponential growth of biological data needs efficient methods for protein translation. Several approaches have been proposed that rely on indicator sequences, statistical and DSP techniques but yet an optimized procedure is required to add an optimal solution. A novel approach for gene identification has been proposed in this paper by employing discrete wavelet transforms for noise reduction in DNA sequences and a novel indicator sequence has been introduced for better signal mapping. Wavelet transforms greatly reduced the background noise and visible peaks of genic regions were found in power spectral estimation. The comparative analysis of proposed and existing approaches showed significant results for novel approach over prevailing solutions for datasets Yersinia pestis (ACCESSION: NC_004088, 4000 bp) and gene F56F11.5 of C elegans (Accession number AF099922) from location 7021. The same significance was observed with four other experiments with real datasets taken from NCBI. |
| first_indexed | 2025-11-13T07:29:11Z |
| format | Citation Index Journal |
| id | oai:scholars.utp.edu.my:3156 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-13T07:29:11Z |
| publishDate | 2011 |
| publisher | Science Aleret |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:31562017-01-19T08:23:05Z http://scholars.utp.edu.my/id/eprint/3156/ A Novel Optimized Approach for Gene Identification in DNA Sequences Ahmad, Muneer Azween, Abdullah Buragga, Khalid QA75 Electronic computers. Computer science Gene identification is an open optimization problem in Bioinformatics. Exponential growth of biological data needs efficient methods for protein translation. Several approaches have been proposed that rely on indicator sequences, statistical and DSP techniques but yet an optimized procedure is required to add an optimal solution. A novel approach for gene identification has been proposed in this paper by employing discrete wavelet transforms for noise reduction in DNA sequences and a novel indicator sequence has been introduced for better signal mapping. Wavelet transforms greatly reduced the background noise and visible peaks of genic regions were found in power spectral estimation. The comparative analysis of proposed and existing approaches showed significant results for novel approach over prevailing solutions for datasets Yersinia pestis (ACCESSION: NC_004088, 4000 bp) and gene F56F11.5 of C elegans (Accession number AF099922) from location 7021. The same significance was observed with four other experiments with real datasets taken from NCBI. Science Aleret 2011 Citation Index Journal NonPeerReviewed application/zip en http://scholars.utp.edu.my/id/eprint/3156/1/IC-22776-JAS-ANSI%20.pdf application/pdf en http://scholars.utp.edu.my/id/eprint/3156/2/22776-22776.pdf Ahmad, Muneer and Azween, Abdullah and Buragga, Khalid (2011) A Novel Optimized Approach for Gene Identification in DNA Sequences. [Citation Index Journal] http://scialert.net/abstract/?doi=jas.0000.22776.22776&linkid=abst |
| spellingShingle | QA75 Electronic computers. Computer science Ahmad, Muneer Azween, Abdullah Buragga, Khalid A Novel Optimized Approach for Gene Identification in DNA Sequences |
| title | A Novel Optimized Approach for Gene Identification in DNA Sequences |
| title_full | A Novel Optimized Approach for Gene Identification in DNA Sequences |
| title_fullStr | A Novel Optimized Approach for Gene Identification in DNA Sequences |
| title_full_unstemmed | A Novel Optimized Approach for Gene Identification in DNA Sequences |
| title_short | A Novel Optimized Approach for Gene Identification in DNA Sequences |
| title_sort | novel optimized approach for gene identification in dna sequences |
| topic | QA75 Electronic computers. Computer science |
| url | http://scholars.utp.edu.my/id/eprint/3156/ http://scholars.utp.edu.my/id/eprint/3156/ http://scholars.utp.edu.my/id/eprint/3156/1/IC-22776-JAS-ANSI%20.pdf http://scholars.utp.edu.my/id/eprint/3156/2/22776-22776.pdf |