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A variety of so-called RNA sequencing (RNA-seq) methods have been applied to investigate eukaryotic and prokaryotic transcriptomes. 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 ...
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 across different conditions (e.g., tissues, perturb...
Chen et al. Single-Cell RNA-Seq Technologies and Related Computational Data Analysis,Frontiers in Genetics, 2019 Wang et al. Comparative analysis of differential gene expression analysis tools for single-cell RNA sequencing data, BMC Bioinformatics, 2019 Kharchenko et al. Bayesian approach to single-...
Available online at ScienceDirect Differential RNA-seq: the approach behind and the biological insight gained ¨ Cynthia M Sharma and Jorg Vogel RNA-sequencing has revolutionized the quantitative and at single-nucleotide resolution, as well as a high dynamic qualitative analysis of transcriptomes in ...
Background RNA-seq, a massive parallel-sequencing-based transcriptome profiling method, provides digital data in the form of aligned sequence read counts. ... Y Bi,RV Davuluri - 《Bmc Bioinformatics》 被引量: 51发表: 2013年 Discrete distributional differential expression (D3E) - a tool for g...
Recent developments in RNA-sequencing (RNA-seq) technology have led to a rapid increase in gene expression data in the form of counts. RNA-seq can be used ... H Wu,C Wang,Z Wu - 《Biostat》 被引量: 201发表: 2013年 FDM: a graph-based statistical method to detect differential transcri...
Library construction and sequencing were performed by OMICS Solutions (Santiago, Chile). The same RNA-Seq data were used to perform the de novo assembly and to assess gene expression. Short read, quality control and de novo assembly This part of the analysis was similar to that described in ...
The analysis of gene expression data has become a standard for studying differences in cells and tissues, partly driven by advances in next-generation RNA sequencing (RNA-Seq) technologies. By identifying differentially expressed genes (DEGs), we can pinpoint genes involved in the onset or ...
RNA sequencing (RNA-Seq) [1] has become a routine technique for genome-wide expression analysis. At increasingly reduced cost, library construction and sequencing can often be carried out following standard protocols. For many researchers, especially those without bioinformatics experience, the bottleneck...