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_31
Snippet: The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. All rights . https://doi.org/10.1101/2020.03.05.975797 doi: bioRxiv preprint (Katoh and Standley, 2013) were used to compute the sequence alignments to input into the PhyloAliFold program. The MAFFT G-INS-i executes only classic multiple sequence alignment whereas the MAFFT X-INS-i considers structural alignments during multiple sequence alignment to decomp.....
Document: The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. All rights . https://doi.org/10.1101/2020.03.05.975797 doi: bioRxiv preprint (Katoh and Standley, 2013) were used to compute the sequence alignments to input into the PhyloAliFold program. The MAFFT G-INS-i executes only classic multiple sequence alignment whereas the MAFFT X-INS-i considers structural alignments during multiple sequence alignment to decompose them. The reference sequence alignments of the ncRNA families in test set "aligned" are also used as the input of the PhyloAliFold. Table 4 . The benchmark of γ-dependent programs that predict single secondary structures on running time using test set "unaligned".
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