(2012) Differential RNA sequencing (dRNA-Seq): deep- sequencing-based analysis of primary transcriptomes. In: Harbers,M. and Kahl,G. (eds) Tag-Based Next Generation Sequencing. Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, Germany, pp. 109-121....
微生物功能基因组学Differential RNA-seq_ the approach behind and the biological insight gained.pdf,Available online at ScienceDirect Differential RNA-seq: the approach behind and the biological insight gained ¨ Cynthia M Sharma and Jorg Vogel RNA-sequenc
从RNA-Seq数据(ENSEMBL)的注释到qRT-PCR数据的转换由在线工具bioDBnet [42]进行,不包括重复的ID或同义词。该转换产生了997个独特qRT-PCR基因的列表。有关qRT-PCR基因列表的详细信息,请参阅S1表。序列比对和基因计数 采用的RNA-Seq数据集映射在人类基因组/转录组(hg19)中,同一版本的注释文件均来自GENCODE项目[43]...
Here, we describe a differential RNA-seq (dRNA-seq) approach for the selective analysis of primary transcripts in the cell. The method is based on a differential exonuclease treatment of total RNA samples, which leads to depletion of processed RNAs, whereas primary transcripts get enriched in ...
OtherBioconductorpackageswithsimilaraimsareedgeRandbaySeq. 1 10SessionInfo23 1Inputdataandpreparations 1.1Thecount table As input, the DESeq package expects count data as obtained, e. g., from RNA-Seq or another high-throughput sequencing experiment, in the form of a rectangular table of integer...
在现有人类数据集外,新增了小鼠、拟南芥和玉米的转录因子及转录辅助因子(Transcription co-factors , TcoFs)敲除/敲除数据集,并扩大了在人类中数据集的规模。KnockTF 2.0拥有1468个人工核对的RNA-seq和microarray数据集,这些数据集与612个TFs和172个TcoFs的敲降/敲除相关,是KnockTF 1.0的2.5倍。
多数RNA-seq实验取一个纯化了的RNA样品,切碎,转换成cDNA并在高通量平台如Illumina GA/HiSeq、SOLiD或Roche 454上测序。该过程产生了来自cDNA片段的一端的、数以百万计的reads(25~300bp)。该过程一个常用的变式是生成双末端reads,即paired-end reads。各平台在化学和处理步骤上有本质不同,但忽略精确的细节后,原始...
Differential Analysis of RNA-Seq Data at the Gene Level Using the DESeq2 Package... M Love,S Anders,W Huber 被引量: 7发表: 2013年 Differential analysis of RNA-Seq data at the gene level using the DESeq 2 package 3 Running the DESeq2 pipeline 8 3.1 Preparing the data object for the...
RNA-seq - Differential Expression Analysis ResultsAhmet Sinan, Yavuz
RNA sequencing (RNA-seq) has been rapidly adopted for the profiling of transcriptomes in many areas of biology, including studies into gene regulation, development and disease. Of particular interest is the discovery of differentially expressed genes acr