The RNA-seq quantitative aspect may be further explored to detect gene differential expression based on a reference genome and gene model. In contrast to micro-arrays, RNA-seq may find a broader range of RNA isoforms as well as novel RNA molecules, and has been gradually substituting micro-...
Introduction to Total RNA Sequencing Whole-transcriptome analysis with total RNA sequencing (RNA-Seq) detects coding plus multiple forms of noncoding RNA. Total RNA-Seq can accurately measure gene and transcript abundance, and identify known and novel features of the transcriptome. ...
Transcriptome analysis by next-generation sequencing (RNA-seq) allows investigation of a transcriptome at unsurpassed resolution. One major benefit is that RNA-seq is independent of a priori knowledge on the sequence under investigation, thereby also allowing analysis of poorly characterized species. Here...
identified as DEGs. The RNA-Seq results were validated by Q-RT-PCR. Functional analysis of DEGs and the module analysis of PPI network demonstrated that in addition to pathways affecting lipid metabolism, a series of enriched functional terms related to “response to interleukin”, “MAPK signalin...
Previous whole-transcriptome analysis by RNA-Seq required hundreds of thousands of cells or microgram amounts of RNA. A modification of the cDNA library preparation method now allows unbiased capture of the majority of genes expressed in a single blastom
RNA-Seq Analysis of the Transcriptome of Leaf Senescence in Tobacco Leaf senescence is a complex developmental process which is under the control of a highly regulated genetic program and involves major changes in gene expression. During the past two decades,... L Wei,Y Guo - 《Methods in Mol...
By all accounts, DNA sequencing is ascendant for transcriptome analysis, and microarrays are waning. As far back as 2008, Nature asked if the scientific community was witnessing “The death of microarrays?” [1] Today, arrays are still kicking; a poll of 175 readers of the “RNA-Seq Blog”...
This study constitutes the first transcriptome-wide RNA-Seq analysis of separated cell types ofV. carterifocusing on gene expression. The high degree of differential expression indicates a strong differentiation of cell types despite the fact thatV. carteridiverged relatively recently from its unicellular...
RNA-Seq Analysis of Mycobacterium avium Non-Coding Transcriptome. Deep sequencing was implemented to study the transcriptional landscape of Mycobacterium avium. High-resolution transcriptome analysis identified the transc... - 《Plos One》 被引量: 0发表: 2013年 Primary transcriptomes of Mycobacterium ...
Clustering and gene set association analysis In order to perform gene set association analysis, we first clustered genes into co-regulated sets based on their expression profiles over all normal samples across 12 cancer types. First, RNA-Seq data were normalized by the DESeq normalization method157...