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- Publisher Website: 10.1109/ITAB.2008.4570626
- Scopus: eid_2-s2.0-51849088653
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Conference Paper: Improved gene prediction by resampling-based spectral analysis of DNA sequence
Title | Improved gene prediction by resampling-based spectral analysis of DNA sequence |
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Authors | |
Issue Date | 2008 |
Citation | 5Th Int. Conference On Information Technology And Applications In Biomedicine, Itab 2008 In Conjunction With 2Nd Int. Symposium And Summer School On Biomedical And Health Engineering, Is3bhe 2008, 2008, p. 221-224 How to Cite? |
Abstract | This paper proposes a new gene prediction method. In this approach, DNA sequences are resampled a number of times according to the codon bias hypothesis. In order to detect the period-3 pattern in the protein-coding regions (exons) of a gene, the resampled sequences are transformed to numerical signals through a proper mapping method, and spectral analysis is then applied to the resulting digital signals. Such resampling reduces spurious periodicities in the DNA sequence and thus achieves higher discriminative power in detecting exons from a DNA sequence. The advantage of this method is demonstrated by an experiment to the DNA sequence of the Stellate Cell Activation-associated Protein (STAP). The method can be an integrated part of more advanced gene prediction algorithms for improved accuracy. © 2008 IEEE. |
Persistent Identifier | http://hdl.handle.net/10722/99507 |
References |
DC Field | Value | Language |
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dc.contributor.author | Chang, CQ | en_HK |
dc.contributor.author | Fung, PCW | en_HK |
dc.contributor.author | Hung, YS | en_HK |
dc.date.accessioned | 2010-09-25T18:33:14Z | - |
dc.date.available | 2010-09-25T18:33:14Z | - |
dc.date.issued | 2008 | en_HK |
dc.identifier.citation | 5Th Int. Conference On Information Technology And Applications In Biomedicine, Itab 2008 In Conjunction With 2Nd Int. Symposium And Summer School On Biomedical And Health Engineering, Is3bhe 2008, 2008, p. 221-224 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/99507 | - |
dc.description.abstract | This paper proposes a new gene prediction method. In this approach, DNA sequences are resampled a number of times according to the codon bias hypothesis. In order to detect the period-3 pattern in the protein-coding regions (exons) of a gene, the resampled sequences are transformed to numerical signals through a proper mapping method, and spectral analysis is then applied to the resulting digital signals. Such resampling reduces spurious periodicities in the DNA sequence and thus achieves higher discriminative power in detecting exons from a DNA sequence. The advantage of this method is demonstrated by an experiment to the DNA sequence of the Stellate Cell Activation-associated Protein (STAP). The method can be an integrated part of more advanced gene prediction algorithms for improved accuracy. © 2008 IEEE. | en_HK |
dc.language | eng | en_HK |
dc.relation.ispartof | 5th Int. Conference on Information Technology and Applications in Biomedicine, ITAB 2008 in conjunction with 2nd Int. Symposium and Summer School on Biomedical and Health Engineering, IS3BHE 2008 | en_HK |
dc.title | Improved gene prediction by resampling-based spectral analysis of DNA sequence | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.email | Chang, CQ: cqchang@eee.hku.hk | en_HK |
dc.identifier.email | Hung, YS: yshung@hkucc.hku.hk | en_HK |
dc.identifier.authority | Chang, CQ=rp00095 | en_HK |
dc.identifier.authority | Hung, YS=rp00220 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/ITAB.2008.4570626 | en_HK |
dc.identifier.scopus | eid_2-s2.0-51849088653 | en_HK |
dc.identifier.hkuros | 146255 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-51849088653&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.spage | 221 | en_HK |
dc.identifier.epage | 224 | en_HK |
dc.identifier.scopusauthorid | Chang, CQ=7407033052 | en_HK |
dc.identifier.scopusauthorid | Fung, PCW=7101613315 | en_HK |
dc.identifier.scopusauthorid | Hung, YS=8091656200 | en_HK |