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EnglishGiven an ordered set of n items and an unknown subset P of up to p positive elements, we want to identify P by asking the least number of queries ‘does Q intersect P?’ where Q must consist of consecutive elements. This Interval Group Testing problem arises in the context of splice site detection in genes. We study algorithms that operate in a few stages where queries chosen depending on previous answers, are performed in parallel. We obtain tight bounds for two-stage strategies. Finally, we get results for any number of stages and positives.
http://hdl.handle.net/11386/1000482| Titolo: | Optimal Group Testing Strategies with Interval Queries and their Application to Splice Site Detection |
| Autori interni: | CICALESE, Ferdinando VACCARO, Ugo |
| Data di pubblicazione: | 2005 |
| Rivista: | INTERNATIONAL JOURNAL OF BIOINFORMATICS RESEARCH AND APPLICATIONS |
| Abstract: | Given an ordered set of n items and an unknown subset P of up to p positive elements, we want to identify P by asking the least number of queries ‘does Q intersect P?’ where Q must consist of consecutive elements. This Interval Group Testing problem arises in the context of splice site detection in genes. We study algorithms that operate in a few stages where queries chosen depending on previous answers, are performed in parallel. We obtain tight bounds for two-stage strategies. Finally, we get results for any number of stages and positives. |
| Handle: | http://hdl.handle.net/11386/1000482 |
| Appare nelle tipologie: | 1.1.2 Articolo su rivista con ISSN |
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