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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/39309
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dc.titleFinding functional promoter motifs by computational methods: A word of caution
dc.contributor.authorChowdhary, R.
dc.contributor.authorWong, L.
dc.contributor.authorBajic, V.B.
dc.date.accessioned2013-07-04T07:38:44Z
dc.date.available2013-07-04T07:38:44Z
dc.date.issued2006
dc.identifier.citationChowdhary, R.,Wong, L.,Bajic, V.B. (2006). Finding functional promoter motifs by computational methods: A word of caution. International Journal of Bioinformatics Research and Applications 2 (3) : 282-288. ScholarBank@NUS Repository.
dc.identifier.issn17445458
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/39309
dc.description.abstractThe standard practice in the analysis of promoters is to select promoter regions of convenient length. This may lead to false results when searching for Transcription Factor Binding Sites (TFBSs), since the sequences may contain coding segments. In such cases, motif detection may single out motifs from the coding regions. The mapping of TFBSs to promoters may result in a misleading picture of 'promoter' content. We illustrate these issues using the example of histones H2A and H2B and show how such analysis could be misleading if care is not exercised to eliminate coding regions from the presumed promoter sequences. Copyright © 2006 Inderscience Enterprises Ltd.
dc.sourceScopus
dc.subjectMotifs
dc.subjectPromoter
dc.subjectTranscription Factor Binding Sites (TFBSs)
dc.subjectTranscription Start Sites (TSSs)
dc.subjectTranslation Initiation Sites (TIS)
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleInternational Journal of Bioinformatics Research and Applications
dc.description.volume2
dc.description.issue3
dc.description.page282-288
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

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