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dc.contributor.authorLin, Yeong-Shinen_US
dc.contributor.authorLiu, Fu-Guo Roberten_US
dc.contributor.authorWang, Tzi-Yuanen_US
dc.contributor.authorPan, Cheng-Tsungen_US
dc.contributor.authorChang, Wei-Tingen_US
dc.contributor.authorLi, Wen-Hsiungen_US
dc.date.accessioned2014-12-08T15:11:59Z-
dc.date.available2014-12-08T15:11:59Z-
dc.date.issued2011-03-01en_US
dc.identifier.issn0305-1048en_US
dc.identifier.urihttp://dx.doi.org/10.1093/nar/gkq1249en_US
dc.identifier.urihttp://hdl.handle.net/11536/9196-
dc.description.abstractA practical way to reduce the cost of surveying single-nucleotide polymorphism (SNP) in a large number of individuals is to measure the allele frequencies in pooled DNA samples. Pyrosequencing (TM) has been frequently used for this application because signals generated by this approach are proportional to the amount of DNA templates. The Pyrosequencing (TM) pyrogram is determined by the dispensing order of dNTPs, which is usually designed based on the known SNPs to avoid asynchronistic extensions of heterozygous sequences. Therefore, utilizing the pyrogram signals to identify de novo SNPs in DNA pools has never been undertook. Here, in this study we developed an algorithm to address this issue. With the sequence and pyrogram of the wild-type allele known in advance, we could use the pyrogram obtained from the pooled DNA sample to predict the sequence of the unknown mutant allele (de novo SNP) and estimate its allele frequency. Both computational simulation and experimental Pyrosequencing(TM) test results suggested that our method performs well. The web interface of our method is available at http://life.nctu.edu.tw/similar to yslin/PSM/.en_US
dc.language.isoen_USen_US
dc.titleA simple method using Pyrosequencing (TM) to identify de novo SNPs in pooled DNA samplesen_US
dc.typeArticleen_US
dc.identifier.doi10.1093/nar/gkq1249en_US
dc.identifier.journalNUCLEIC ACIDS RESEARCHen_US
dc.citation.volume39en_US
dc.citation.issue5en_US
dc.citation.epageen_US
dc.contributor.department生物科技學系zh_TW
dc.contributor.department生物資訊及系統生物研究所zh_TW
dc.contributor.departmentDepartment of Biological Science and Technologyen_US
dc.contributor.departmentInstitude of Bioinformatics and Systems Biologyen_US
dc.identifier.wosnumberWOS:000288800700003-
dc.citation.woscount1-
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