RNA-Seq Blog Transcriptome Research & Industry News
A tiny region at the root tip has been found to be responsible for orchestrating the growth and development of the complex network of vascular...
Read More »Single-cell RNA-seq and live imaging reveal how plants build a sugar transport lane
Dashboard-style interactive plots for RNA-seq analysis are R Markdown ready with Glimma 2.0
Glimma 1.0 introduced intuitive, point-and-click interactive graphics for differential gene expression analysis. Researchers at the Walter and Eliza Hall Institute of Medical Research present a major update to Glimma that brings improved interactivity and...
Read More »RNA Sequencing reveals recipe for anti-cancer compound in herbs
Thyme and oregano possess an anti-cancer compound that suppresses tumor development, but adding more to your tomato sauce isn’t enough to gain significant benefit. The key to unlocking the...
Read More »A technique to discover gene expression spatial patterns from single-cell RNA-Seq data
Researchers at the University of Alabama at Birmingham have developed Polar Gini Curve, a method for characterizing cluster markers by...
Read More »Single Cell RNA sequencing (scRNAseq) – analytical approaches to complex data
The talk covers popular analytical approaches used to work with single-cell RNAseq (scRNAseq) data. The first example shows data obtained from 3...
Read More »splatPop – simulating population scale single-cell RNA sequencing data
Population-scale single-cell RNA sequencing (scRNA-seq) is now viable, enabling finer resolution functional genomics studies and leading to a rush...
Read More »Systematic detection of m6A-modified transcripts at single-molecule and single-cell resolution
Epigenetic modifications control the stability and translation of mRNA molecules. Researchers from Massachusetts General Hospital and Harvard Medical School have developed a microscopy-based platform for quantifying modified RNA molecules and for relating the modification patterns to single-cell phenotypes. The researchers ...
Read More »Standard transcriptomic analyses cannot fully capture the molecular mechanisms underlying disease pathophysiology and outcomes
Researchers at Cincinnati Children’s Hospital Medical Center present a computational heterogeneous data integration and mining protocol that combines transcriptional signatures from multiple model systems...
Read More »Researchers combine scRNA-seq with massively parallel tagging of progenitors to reconstruct lineage relationships
With a new method researchers can investigate the developmental relationships of cells in the brain Our brain is extremely complex, performing countless complicated processes that allow us to think, move and feel. This is only possible because of the enormous ...
Read More »Smart-seq-total – a method capable of assaying a broad spectrum of both coding and noncoding RNA from a single cell
The ability to interrogate total RNA content of single cells would enable better mapping of the transcriptional logic behind emerging cell types and states. However, current single-cell RNA-sequencing...
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