Using New Software, Researchers Identify RNA Structural Motifs | GenomeWeb

Researchers at the University of Central Florida have devised a new software solution for studying the structural characteristics of RNA. Shaojie Zhang and his team designed a computational framework called RNAMotifScan-based Clustering, or RNAMSC, that clusters together potential motifs based on their structural similarities. This framework is based on RNAMotif-Scan, an RNA-structural-motif-identification software tool Zhang's team had previously developed. RNAMSC quickly scans RNA samples and identifies motifs in RNA's 3D, accordion-like structure.

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