MERGE-RNA uses maximum-entropy modeling of the DMS probing pipeline to learn a small set of transferable parameters that predict RNA secondary structure ensembles matching experimental reactivity better than standard pseudo-free-energy approaches.
An ultraprocessive, accurate reverse transcriptase encoded by a metazoan group II intron.RNA, 24(2):183–195, February 2018
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MERGE-RNA: a physics-based model to predict RNA secondary structure ensembles with chemical probing
MERGE-RNA uses maximum-entropy modeling of the DMS probing pipeline to learn a small set of transferable parameters that predict RNA secondary structure ensembles matching experimental reactivity better than standard pseudo-free-energy approaches.