H. Blair

FAST-MaP provides a protocol for per-nucleotide RNA structure characterization using chemical modification and primer-less sequencing without requiring sequencing infrastructure or bioinformatics expertise.

This paper demonstrates that deep learning can accurately design RNA pseudoknots, achieving results comparable to human experts in a competition.

This study shows that cesarean section in mice alters brain barrier function, immune profiles, and metabolism in the neonatal brain, highlighting birth mode's impact on early brain development.

The paper introduces RibonanzaNet, a deep learning model trained on crowdsourced RNA chemical mapping data to predict RNA structure and related properties.