Next-generation sequencing technologies can produce tens of millions of reads, often paired-end, from transcripts or genomes. But few programs can align RNA on the genome and accurately discover introns, especially with long reads. NIH researchers introduce Magic-BLAST, a new aligner ...
Read More »The exon quantification pipeline (EQP) – a comprehensive approach to the quantification of gene, exon and junction expression from RNA-seq data
The quantification of transcriptomic features is the basis of the analysis of RNA-seq data. Researchers at the Novartis Institutes for Biomedical Research have developed an integrated alignment workflow and a simple counting-based approach to derive estimates for gene, exon and ...
Read More »SpliceJumper – a classification-based approach for calling splicing junctions from RNA-seq data
Next-generation RNA sequencing technologies have been widely applied in transcriptome profiling. This facilitates further studies of gene structure and expression on the genome wide scale. It is an important step to align reads to the reference genome and call out ...
Read More »The hidden treasure in RNA-seq
from Phys.org Michael Stadler and his team at the Friedrich Miescher institute for Biomedical Research (FMI) have developed a novel computational approach to analyze RNA-seq data. By comparing intronic and exonic RNA reads, this approach allows discerning the contribution of ...
Read More »Quantification of co-transcriptional splicing from RNA-Seq data
During gene expression, protein-coding transcripts are shaped by multiple processing events: 5′ end capping, pre-mRNA splicing, RNA editing, and 3′ end cleavage and polyadenylation. These events are required to produce mature mRNA, which can be subsequently translated. Nearly all of ...
Read More »