High-throughput sequencing of transcriptomes (RNA-Seq) has become a powerful tool to study gene expression. Here researchers from the University of Michigan present an R package, rSeqNP, which implements a non-parametric approach to test for differential expression and splicing from RNA-Seq ...
Read More »Quantitative visualization of alternative exon expression from RNA-Seq data
Analysis of RNA sequencing (RNA-Seq) data revealed that the vast majority of human genes express multiple mRNA isoforms, produced by alternative pre-mRNA splicing and other mechanisms, and that most alternative isoforms vary in expression between human tissues (Pan et al. ...
Read More »Bitseq found to produce the most accurate measures of gene expression
RNA-sequencing data analysis method BitSeq developed by Academy Research Fellow Antti Honkela?s research group and University of Manchester researchers has been found to be the most accurate gene transcript expression estimation method in a large international assessment. The method is ...
Read More »Application of RNA-seq to the comprehensive analysis of plant mitochondrial transcriptomes
Researchers at the Academy of Sciences of the Czech Republic propose ways to improve read mapping accuracy and sensitivity such as modifying a reference genome at RNA editing sites, using splicing- and ambiguity-competent aligners, and masking chloroplast- or nucleus-derived sequences. ...
Read More »Webinar – Developing new insights into gene expression using RNA-Seq
RNA-Seq is proving to be a valuable tool for the investigation of known and novel transcripts affecting cell development, disease status or disease mechanisms. Being able to address a range of questions, from differential expression to differential splicing, offers researchers ...
Read More »Methods to study splicing from high-throughput RNA sequencing data
The development of novel high-throughput sequencing (HTS) methods for RNA (RNA-Seq) has provided a very powerful mean to study splicing under multiple conditions at unprecedented depth. However, the complexity of the information to be analyzed has turned this into a ...
Read More »