RNA-Seq Blog Transcriptome Research & Industry News

Web-based solution offers advanced biological analysis and interpretation of Single Cell Clusters in tumor genome profiling experiments ROSALIND®, a software leader in extracting meaningful insights...

Using a new single-cell technique, WEHI researchers have uncovered a way to understand the programming behind how stem cells make particular cell types. The research uncovered 30 new genes that program stem cells to make the dendritic cells that...

Single-cell RNA-sequencing (scRNA-Seq) is widely used to reveal the heterogeneity and dynamics of tissues, organisms, and complex diseases, but its analyses still suffer from multiple grand challenges, including the sequencing sparsity and complex...

Clustering is a critical step in single cell-based studies. Most existing methods support unsupervised clustering without the a priori exploitation of any domain knowledge. When confronted by the high dimensionality and pervasive dropout events...

Biomedical scientists are increasingly using deconvolution methods, those used to computationally analyze the composition of complex mixtures of cells. One of their challenges is to...

Antisense peptide nucleic acids (PNAs) inhibiting mRNAs of essential genes provide a straight-forward way to repurpose our knowledge of bacterial regulatory RNAs for development of programmable species...