Hua-Ting Yao

This study designs functional exoribonuclease-resistant RNAs using a mechanics-aware approach, achieving wild-type efficiency without sequence similarity to known xrRNAs.

The paper updates the ViennaRNA package to include salt corrections for RNA secondary structure prediction, improving accuracy under varying ion concentrations.

The paper introduces BayesPairing 2, a sequence search algorithm for RNA 3D module identification, showing improved speed and accuracy over its predecessor.

This paper demonstrates that the number of designable RNA secondary structures decreases exponentially with size, due to undesignable motifs.

MentaLiST is a fast and accurate MLST caller designed for large MLST schemes, outperforming existing tools in speed while maintaining or improving accuracy.