Tag Archives: Johns Hopkins School of Medicine

RNA sequencing (RNA-seq) is a powerful approach for measuring gene expression levels in cells and tissues, but it relies on high-quality RNA. Researchers at the  Johns Hopkins School of Medicine demonstrate here that statistical adjustment using existing quality measures largely fails to ...

Abundant but short second-generation sequencing reads make assembly difficult, leading to fragmented genomes and gene annotations. Gene structure information from RNA sequences can be used to improve the completeness and contiguity of an assembly, but bioinformatics methods have been lacking. ...

Next generation sequencing of cellular RNA is making it possible to characterize genes and alternative splicing in unprecedented detail. However, designing bioinformatics tools to capture splicing variation accurately has proven difficult. Current programs find major isoforms of a gene but ...