These splicing sites are not uniform across the human population, but vary between #individuals. It is also difficult to know which haplotype the #RNA comes from

Mapping RNA sequencing data to understand gene expression can be difficult because the #RNA sequences are spliced by cellular #mechanisms, meaning one set of RNA

A group of scientists led by UCSC Associate Professor of Biomolecular Engineering Benedict Paten have released a toolkit that allows researchers to #map an individual's #RNA data to a much richer reference

In a new paper published in the journal Nature Methods, researchers at UC Santa Cruz introduce the first-ever method for analyzing #RNA sequencing data genome-wide using a #pantranscriptome

To get an insight into the degree to which genes are "turned on" and perform tasks in the body, a person's #RNA landscape must be mapped to a #standard reference