RNA-Seq Blog Transcriptome Research & Industry News

Ribonucleic acids (RNAs) involve in various physiological/pathological processes by interacting with proteins, compounds, and other RNAs. A variety of powerful computational methods have been developed to predict such valuable interactions. ...

Twist announced the launch of a portfolio of RNA sequencing tools, which includes the Twist RNA Exome, Twist RNA Library Prep Kit and the Twist Ribosomal RNA (rRNA) & Hemoglobin (Globin)...

Automatic cell type annotation methods are increasingly used in single-cell RNA sequencing (scRNA-seq) analysis due to their fast and precise advantages. However, current methods often fail to...

Glioblastomas (GBM) are aggressive brain tumors with extensive intratumoral heterogeneity that contributes to treatment resistance. Spatial characterization of GBMs could provide insights into the role of the brain tumor microenvironment ...

Researchers at Colorado State University have developed tiny-count, a highly flexible counting tool that allows for hierarchical classification and quantification of small RNA reads from high-throughput sequencing data. Selection rules can ...

The count table, a numeric matrix of genes × cells, is the basic input data structure in the analysis of single-cell RNA-sequencing data. A common preprocessing step is to adjust ...

RNA-Seq is such a powerful tool! In this video I discuss how using the awesome power of RNA sequencing we can narrow down the potential mechanism of a novel drug. ...