RNAfamProb Plus NeoFold

RNAfamProb Plus NeoFold estimates posterior probabilities for RNA structural alignment to improve comparative analysis of functional non-coding RNAs (ncRNAs). It computes pseudo-probabilities that enhance secondary structure prediction, sequence alignment, consensus secondary structure inference, and structural alignment accuracy.


Key Features:

  • Posterior Probability Computation: Calculates pseudo-posterior probabilities for RNA structural alignments to support maximum-expected-accuracy secondary structure estimation.
  • Homologous Sequence Integration: Incorporates homologous RNA sequences to leverage evolutionary information for improved structural and alignment predictions.
  • Maximum-Expected-Accuracy Optimization: Applies probabilistic scoring to jointly refine sequence alignment and secondary structure prediction.
  • Comparative Performance: Demonstrates improved accuracy over state-of-the-art maximum-expected-accuracy secondary structure prediction programs.

Scientific Applications:

  • Comparative ncRNA Structural Analysis: Supports accurate structural alignment and evolutionary analysis of RNA families.

Methodology:

RNAfamProb Plus NeoFold computes pseudo-posterior probabilities for structural alignment by jointly modeling RNA sequence alignment and secondary structure formation, integrating homologous sequence information to optimize maximum-expected-accuracy predictions.

Topics

Details

Programming Languages:
Python
Added:
1/9/2020
Last Updated:
1/15/2021

Operations

Publications

Tagashira M, Asai K. RNAfamProb Plus NeoFold: Estimations of Posterior Probabilities on RNA Structural Alignment and RNA Secondary Structures with Incorporating Homologous-RNA Sequences. Unknown Journal. 2019. doi:10.1101/812891.

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