dc.contributor.authorChoy, Jocelyn Y. H.
dc.contributor.authorBoon, Priscilla L. S.
dc.contributor.authorBertin, Nicolas
dc.contributor.authorFullwood, Melissa Jane
dc.date.accessioned2018-09-10T06:04:26Z
dc.date.available2018-09-10T06:04:26Z
dc.date.issued2015
dc.identifier.citationChoy, J. Y. H., Boon, P. L. S., Bertin, N., & Fullwood, M. J. (2015). A resource of ribosomal RNA-depleted RNA-Seq data from different normal adult and fetal human tissues. Scientific Data, 2, 150063-. doi:10.1038/sdata.2015.63en_US
dc.identifier.urihttp://hdl.handle.net/10220/45909
dc.description.abstractGene expression is the most fundamental level at which the genotype leads to the phenotype of the organism. Enabled by ultra-high-throughput next-generation DNA sequencing, RNA-Seq involves shotgun sequencing of fragmented RNA transcripts by next-generation sequencing followed by in silico assembly, and is rapidly becoming the most popular method for gene expression analysis. Poly[A]+ RNA-Seq analyses of normal human adult tissue samples such as Illumina’s Human BodyMap 2.0 Project and the RNA-Seq atlas have provided a useful global resource and framework for comparisons with diseased tissues such as cancer. However, these analyses have failed to provide information on poly[A]−RNA, which is abundant in our cells. The most recent advances in RNA-Seq analyses use ribosomal RNA-depletion to provide information on both poly[A]+ and poly[A]−RNA. In this paper, we describe the use of Illumina’s HiSeq 2000 to generate high quality rRNA-depleted RNA-Seq datasets from human fetal and adult tissues. The datasets reported here will be useful in understanding the different expression profiles in different tissues.en_US
dc.description.sponsorshipNRF (Natl Research Foundation, S’pore)en_US
dc.description.sponsorshipMOE (Min. of Education, S’pore)en_US
dc.format.extent7 p.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesScientific Dataen_US
dc.rights© 2015 The Author(s) (Nature Publishing Group). This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0en_US
dc.subjectDRNTU::Science::Biological sciencesen_US
dc.subjectRNAen_US
dc.subjectHuman Tissuesen_US
dc.titleA resource of ribosomal RNA-depleted RNA-Seq data from different normal adult and fetal human tissuesen_US
dc.typeJournal Article
dc.contributor.schoolSchool of Biological Sciencesen_US
dc.identifier.doihttp://dx.doi.org/10.1038/sdata.2015.63
dc.description.versionPublished versionen_US


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