Author: Masaki Tagashira
Title: PhyloFold: Precise and Swift Prediction of RNA Secondary Structures to Incorporate Phylogeny among Homologs Document date: 2020_3_6
ID: l72x4wn3_39
Snippet: The PhyloFold method, which predicts secondary structures considering the phylogeny among homologs, has been devised. The method demonstrated superior prediction accuracy compared to competitors while demanding comparable running time on the prediction of both single and consensus secondary structures. The method has the potential to be improved by secondary structure probing methods such as icSHAPE (Spitale et al., 2015) and SHAPE-MaP (Siegfried.....
Document: The PhyloFold method, which predicts secondary structures considering the phylogeny among homologs, has been devised. The method demonstrated superior prediction accuracy compared to competitors while demanding comparable running time on the prediction of both single and consensus secondary structures. The method has the potential to be improved by secondary structure probing methods such as icSHAPE (Spitale et al., 2015) and SHAPE-MaP (Siegfried et al., 2014) as demonstrated in the SuperFold (Siegfried et al., 2014) and TurboFold methods.
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