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.
DOI: 10.1101/812891
Links
Repository
https://github.com/heartsh/neofold