The technology of single cell RNA sequencing (scRNA-seq) has gained massively in popularity as it allows unprecedented insights into cellular heterogeneity as well as identification and characterization of (sub-)cellular populations. Furthermore...
Read More »Biological misinterpretation of transcriptional signatures can undermine faithful alignment between clinical samples and preclinical data/models
Precise mechanism-based gene expression signatures (GES) have been developed in appropriate in vitro and in vivo model systems, to identify important cancer-related signaling processes. However, some GESs originally developed to represent specific disease processes, primarily with an epithelial cell focus, ...
Read More »aTAP – automated transcriptome analysis platform for processing RNA-seq data by de novo assembly
RNA-seq is a sequencing technique that uses next-generation sequencing (NGS) to explore and study the entire transcriptome of a biological sample...
Read More »PlaqView 2.0 – A comprehensive web portal for cardiovascular single-cell genomics
Single-cell RNA-seq (scRNA-seq) is a powerful genomics technology to interrogate the cellular composition and behaviors of complex systems. While the number of scRNA-seq datasets and available computational analysis tools have grown...
Read More »ConfoundR – stop biological misinterpretation of transcriptional signatures
Precise mechanism-based gene expression signatures (GESs) have been developed in appropriate in vitro and in vivo model systems, to identify important cancer-related signaling processes. However, some GESs originally developed to represent specific disease processes, primarily with an epithelial cell focus, ...
Read More »Researchers develop online portal to show how biases in RNA sequences affect gene expression
A recent publication from researchers at the University of Kentucky explains the importance of identifying and understanding how differences...
Read More »CF-Seq – rapid re-analysis of cystic fibrosis pathogen RNA sequencing studies
Researchers studying cystic fibrosis (CF) pathogens have produced numerous RNA-seq datasets which are available in the gene expression omnibus (GEO).
Read More »GEOexplorer – a webserver for gene expression analysis and visualisation
Gene Expression Omnibus (GEO) is a database repository hosting a substantial proportion of publicly available high throughput gene expression data. Gene expression analysis is a powerful tool to gain insight into the mechanisms and processes...
Read More »ICARUS – an interactive web server for single cell RNA-seq analysis
Researchers from the University of Auckland have developed ICARUS, a web server to enable users without experience in R to undertake single cell...
Read More »RashX – classification of previously clinicopathologically indeterminate rash samples using single-cell immune profiling
Inflammatory conditions represent the largest class of chronic skin disease, but the molecular dysregulation underlying many individual cases remains unclear. Single-cell RNA sequencing (scRNA-seq)...
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