Single-cell RNA-seq is a powerful tool for revealing heterogeneity in cancer cells. However, each of the current single-cell RNA-seq platforms has inherent advantages and disadvantages. Here, researchers from the University of Tokyo show that combining the different single-cell RNA-seq platforms can be ...
Read More »SCOUP – a stochastic process-based method to analyze single-cell expression data throughout differentiation
Single-cell technologies make it possible to quantify the comprehensive states of individual cells, and have the power to shed light on cellular differentiation in particular. Although several methods have been developed to fully analyze the single-cell expression data, there is ...
Read More »RNA stability is an important determinant of eventual transcript levels
Histone epigenome data determined by chromatin immunoprecipitation sequencing (ChIP-seq) is used in identifying transcript regions and estimating expression levels. However, this estimation does not always correlate with eventual RNA expression levels measured by RNA sequencing (RNA-seq). Part of the inconsistency ...
Read More »