Computational Method

Snapshot Science sums up a new computational method to identify noncoding mutations in pediatric cancer.

A new deep-learning model predicts the behavior of splicing regulation, helping researchers to increase their experiments’ efficiency.

Researchers with the Center for Computational and Genomic Medicine gain insights into genetic variants and RNA processing.

SAGES 2018 shared researchers' new approaches to sifting through the vast data produced by next-gen sequencing and other omics to find useful signals.