RNA-seq from ENCODE/Caltech (Mouse)
收藏干细胞与再生医学数据中心2022-02-20 更新2024-03-06 收录
下载链接：
http://data.iscr.ac.cn/Article?id=2ddf62d709960d6cec4bf95bfb3bf5e9
下载链接
链接失效反馈官方服务：
资源简介：
This data was generated by ENCODE. If you have questions about the data, contact the submitting laboratory directly (Georgi K. Marinov mailto:georgi@caltech.edu (data coordination/informatics/experimental), Diane Trout mailto:diane@caltech.edu (informatics) Brian Williams mailto:bawilli_91125@yahoo.com (experimental)). If you have questions about the Genome Browser track associated with this data, contact ENCODE (mailto:genome@soe.ucsc.edu).RNA-seq is a method for mapping and quantifying the transcriptome of any organism that has a genomic DNA sequence assembly (Mortazavi et al., 2008). RNA-seq is performed by reverse-transcribing an RNA sample into cDNA, followed by high-throughput DNA sequencing, which was done here on the Illumina HiSeq sequencer. The transcriptome measurements shown on these tracks were performed on polyA selected RNA (http://hgwdev.cse.ucsc.edu/cgi-bin/hgEncodeVocab?term=longPolyA&type=rnaExtract) from total cellular RNA (http://hgwdev.cse.ucsc.edu/cgi-bin/hgEncodeVocab?term=cell&type=localization). PolyA-selected RNA was fragmented by magnesium-catalyzed hydrolysis and then converted into cDNA by random priming and amplified. Paired-end 2x100 bp reads were obtained from each end of a cDNA fragment. Reads were aligned to the mm9 human reference genome using TopHat (Trapnell et al., 2009), a program specifically designed to align RNA-seq reads and discover splice junctions de novo. All sequence and alignments files are available at http://hgwdev.cse.ucsc.edu/cgi-bin/hgFileUi?db=mm9&g=wgEncodeCaltechRnaSeq.
提供机构：
ENCODE DCC
创建时间：
2022-02-20
