RNA-Seq Blog Transcriptome Research & Industry News

Single-cell RNA-seq is a promising technology with broad applications and discerning biological noise from technical noise is critical for correctly interpreting the data (Jaitin, et al., 2014). Recently, statistical methods ...

Strand specific RNAseq data is now more common in RNAseq projects. Visualizing RNAseq data has become an important matter in Analysis of sequencing data. The most widely used visualization tool ...

from Scientific American By Kevin Bonham …Modern sequencing methods can generate millions or even billions of these short sequence “reads” at a time, but as I said above you need ...

RNA-seq co-expression analysis is in its infancy and reasonable practices remain poorly defined. Researchers at Cold Spring Harbor Laboratory assessed a variety of RNA-seq expression data to determine factors affecting ...

High-throughput sequencing of transcriptomes (RNA-Seq) has become a powerful tool to study gene expression. Here researchers from the University of Michigan present an R package, rSeqNP, which implements a non-parametric ...

from Genetic Engineering News by Jeffrey S. Buguliskis, Ph.D. Plowing through Transcriptional Variations by Harnessing the Powerful Next-Gen Technique Advances in genomics over the past several years have had a ...

Overlapping transcription constitutes a common mechanism for regulating gene expression. A major limitation of the overlapping transcription assays is the lack of high throughput expression data. Researchers at Tongji University ...