RNA-Seq Blog Transcriptome Research & Industry News
Circular RNAs are an emerging class of transcript isoforms created by unique back splicing of exons to form a closed covalent circular structure. While...
Read More »Methods for annotation and validation of circular RNAs from RNA-Seq data
ASGAL – aligning RNA-Seq data to a splicing graph to detect novel alternative splicing events
While the reconstruction of transcripts from a sample of RNA-Seq data is a computationally expensive and complicated task, the detection of splicing events...
Read More »BioTuring Browser – integrate end-to-end analyses for single-cell RNA-seq data in an interactive dashboard
BioTuring Inc. has officially launched BioTuring Browser, the software that integrates state-of-the-art analyses for single-cell RNA-seq data, from transcript quantification, batch effect removal to downstream analyses, all delivered in an interactive visualization dashboard. Latest advances in single-cell RNA-seq (scRNA-seq) technologies ...
Read More »DEBrowser – interactive differential expression analysis and visualization tool for count data
Sequencing data has become a standard measure of diverse cellular activities. For example, gene expression is accurately measured by RNA sequencing (RNA-Seq) libraries, protein-DNA interactions are...
Read More »EMEP – single-cell RNA-seq interpretations using evolutionary multiobjective ensemble pruning
In recent years, single-cell RNA sequencing enables us to discover cell types or even subtypes. Its increasing availability provides opportunities to identify cell populations from single-cell RNA-seq data. Computational methods have been employed to...
Read More »TransFlow – a modular framework for assembling and assessing accurate de novo transcriptomes in non-model organisms
The advances in high-throughput sequencing technologies are allowing more and more de novo assembling of transcriptomes from many new organisms. Some degree of automation and evaluation is...
Read More »Expression analysis of RNA sequencing data depends on technical replication and normalization methods
The potential for astrocyte participation in central nervous system recovery is highlighted by in vitro experiments demonstrating their capacity to transdifferentiate into neurons. Understanding astrocyte...
Read More »Empirical assessment of the impact of sample number and read depth on RNA-Seq analysis workflow performance
RNA-Sequencing analysis methods are rapidly evolving, and the tool choice for each step of one common workflow, differential expression analysis, which includes read alignment, expression modeling...
Read More »An improved method for analyzing differentially expressed genes in RNA-seq data
RNA sequencing (RNA-seq) has become a widely used technology for analyzing global gene-expression changes during certain biological processes. It is generally acknowledged that RNA-seq data displays equidispersion and overdispersion characteristics; therefore, most RNA-seq analysis methods were developed based on a ...
Read More »MISC – missing imputation for single-cell RNA sequencing data
Single-cell RNA sequencing (scRNA-seq) technology provides an effective way to study cell heterogeneity. However, due to the low capture efficiency and stochastic gene expression, scRNA-seq data often...
Read More »