By Sharlene George
A new computational framework called deep-learning augmented RNA-seq analysis of transcript splicing (DARTS) uses deep-learning based predictions to add dimension to the wealth of information available in public RNA sequencing (RNA-seq) big data sets. DARTS allows researchers to gain new insights into RNA and protein complexity, particularly for genes with low expression.
Who conducted the study:
A team from the Center for Computational and Genomic Medicine at Children’s Hospital of Philadelphia conducted the study including Yi Xing, PhD, who is the Center’s director, and first authors Zijun Zhang and Zhicheng Pan, who are PhD students.