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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/130099
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dc.titleRun probability of high-order seed patterns and its applications to finding good transition seeds
dc.contributor.authorYang, J.L.
dc.contributor.authorZhang, L.X.
dc.date.accessioned2016-11-11T08:00:55Z
dc.date.available2016-11-11T08:00:55Z
dc.date.issued2008
dc.identifier.citationYang, J.L., Zhang, L.X. (2008). Run probability of high-order seed patterns and its applications to finding good transition seeds. Series on Advances in Bioinformatics and Computational Biology 6 : 123-132. ScholarBank@NUS Repository.
dc.identifier.isbn9781848161085
dc.identifier.issn17516404
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/130099
dc.description.abstractTransition seeds exhibit a good tradeoff between sensitivity and specificity for homology search in both coding and non-coding regions. But, identifying good transition seeds is extremely hard. We study the hit probability of high-order seed patterns. Based on our theoretical results, we propose an efficient method for ranking transition seeds for seed design.
dc.sourceScopus
dc.subjectHigh-order seed pattern
dc.subjectRun statistics
dc.subjectSensitivity analysis
dc.subjectTransition seed
dc.typeConference Paper
dc.contributor.departmentMATHEMATICS
dc.description.sourcetitleSeries on Advances in Bioinformatics and Computational Biology
dc.description.volume6
dc.description.page123-132
dc.identifier.isiutNOT_IN_WOS
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