ions, three samples Human RNA-Seq data with three conditions, three samplesHuman RNA-Seq data with three conditions, three samplesPanagiotis Moulos
2012. RNA-Seq quantification of the human small airway epithelium transcriptome. BMC Genomics 13: 82.Hackett NR, Butler MW, Shaykhiev R, Salit J, Omberg L, Rodriguez-Flores JL, et al. RNA-Seq quantifi- cation of the human small airway epithelium transcriptome. BMC Genomics. 2012; 13: 82...
在本周一的文章(复现原文(一):Single-cell RNA sequencing of human kidney(step by step))中,我们完成了scRNA-seq数据的质控(Hemberg-lab单细胞转录组数据分析(三)- 原始数据质控)、批次校正、找Marker基因(单细胞分群后,怎么找到Marker基因定义每一类群?)、UMAP可视化和tSNE可视化(Hemberg-lab单细胞转录组数据分...
DNBSEQ平台发文列表(截至2024年H1) DNBSEQ平台CNS系列重要领域发文(2023年) DNBSEQ平台农业基因组领域发文(DNBSEQ-T7)- 不完全统计 单细胞测序方向发文(2020-2024)- 不完全统计 DNBSEQ平台微生物组学研究方向发文(2020-2022)- 不完全统计 DNBSEQ测序平台文献概览(2019版)...
RNA sequencing (RNA-seq) is the leading technology for genome-wide transcript quantification. However, publicly available RNA-seq data is currently provided mostly in raw form, a significant barrier for global and integrative retrospective analyses.
•LncRNAWiki 收录的经过实验验证的特色lncRNAs; •Level 1 GENCODE v21 LncRNAs精选了具有 RT-PCR-Seq 方面实验数据支持的lncRNAs [2]; •Refseq 严格筛选了可信度高,具有全长序列的lncRNAs; •Arraystar lncRNA通过 ENCODE CAGE Clusters, PolyA-seq, 深度 RNA-Seq以及 capture seq获得的,具有5’TSS,3...
在本周一的文章(复现原文(一):Single-cell RNA sequencing of human kidney(step by step))中,我们完成了scRNA-seq数据的质控(Hemberg-lab单细胞转录组数据分析(三)- 原始数据质控)、批次校正、找Marker基因(单细胞分群后,怎么找到Marker基因定义每一类群?)、UMAP可视化和tSNE可视化(Hemberg-lab单细胞转录组数据分...
Here we present a comprehensive, temporal program of gene expression data encompassing human PC differentiation (PCD) using RNA sequencing (RNA-seq). Our results reveal 6374 differentially expressed genes classified into four temporal gene expression patterns. A stringent pathway enrichment analysis of ...
RNA测序(RNA-seq)和DNA甲基化分析表明,这些细胞与HES细胞的转录本和表观基因组相似(扩展数据图2e-h)。OCT4和NANOG启动子的基因座通过开放的染色质可及性被去甲基化(扩展数据图2i,j)。综上所述,这些结果表明,OSN+细胞系在转录和表观遗传学方面与HES细胞相似。此后,我们将这些已建立的OSN+细胞系称为人化学...
复现原文(一):Single-cell RNA sequencing of human kidney(step by step),Nature重磅综述|关于RNA-seq你想知道的全在这)、ChIP-seq分析 (ChIP-seq基本分析流程)、单细胞测序分析 (重磅综述:三万字长文读懂单细胞RNA测序分析的最佳实践教程(原理、代码和评述))