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dc.contributor.authorTsai, Kuo-Wangen_US
dc.contributor.authorChang, Billen_US
dc.contributor.authorPan, Cheng-Tsungen_US
dc.contributor.authorLin, Wei-Chenen_US
dc.contributor.authorChen, Ting-Wenen_US
dc.contributor.authorLi, Sung-Chouen_US
dc.date.accessioned2019-04-03T06:37:51Z-
dc.date.available2019-04-03T06:37:51Z-
dc.date.issued2015-01-01en_US
dc.identifier.issn2314-6133en_US
dc.identifier.urihttp://dx.doi.org/10.1155/2015/182389en_US
dc.identifier.urihttp://hdl.handle.net/11536/124740-
dc.description.abstractNext-generation sequencing (NGS) has become a powerful sequencing tool, applied in a wide range of biological studies. However, the traditional sample preparation protocol for NGS is non-strand-specific (NSS), leading to biased estimates of expression for transcripts overlapped at the antisense strand. Strand-specific (SS) protocols have recently been developed. In this study, we prepared the same RNA sample by using the SS and NSS protocols, followed by sequencing with Illumina HiSeq platform. Using real-time quantitative PCR as a standard, we first proved that the SS protocol more precisely estimates gene expressions compared with the NSS protocol, particularly for those overlapped at the antisense strand. In addition, we also showed that the sequence reads from the SS protocol are comparable with those from conventional NSS protocols in many aspects. Finally, we also mapped a fraction of sequence reads back to the antisense strand of the known genes, originally without annotated genes located. Using sequence assembly and PCR validation, we succeeded in identifying and characterizing the novel antisense genes. Our results show that the SS protocol performs more accurately than the traditional NSS protocol and can be applied in future studies.en_US
dc.language.isoen_USen_US
dc.titleEvaluation and Application of the Strand-Specific Protocol for Next-Generation Sequencingen_US
dc.typeArticleen_US
dc.identifier.doi10.1155/2015/182389en_US
dc.identifier.journalBIOMED RESEARCH INTERNATIONALen_US
dc.citation.spage0en_US
dc.citation.epage0en_US
dc.contributor.department生物資訊及系統生物研究所zh_TW
dc.contributor.departmentInstitude of Bioinformatics and Systems Biologyen_US
dc.identifier.wosnumberWOS:000352886400001en_US
dc.citation.woscount4en_US
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