Selected article for: "free energy and minimum free energy"

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_14
    Snippet: can be considered though the sparsification proposed in this study is not effective for the variants. Algorithm 1 is the "simultaneous" solution of the Durbin (forwardbackward) algorithm, which predicts posterior alignment probability matrices on pairwise sequence alignment (Durbin et al., 1998) , and the McCaskill algorithm (McCaskill, 1990) , as expected. Algorithm 1 is also an inside-outside algorithm version of the Sankoff algorithm, which pr.....
    Document: can be considered though the sparsification proposed in this study is not effective for the variants. Algorithm 1 is the "simultaneous" solution of the Durbin (forwardbackward) algorithm, which predicts posterior alignment probability matrices on pairwise sequence alignment (Durbin et al., 1998) , and the McCaskill algorithm (McCaskill, 1990) , as expected. Algorithm 1 is also an inside-outside algorithm version of the Sankoff algorithm, which predicts pairwise structural alignments whose free energy is minimum (Sankoff, 1985) , as expected. The time and space complexities of Algorithm 1 are preferably around O(N M ) to deal with long ncRNAs. In the next section, a solution to the heavy complexity, sparsifying all possible structural alignments STA RNA , is introduced. reserved. No reuse allowed without permission.

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