RintC

RintC decomposes probability distributions of RNA secondary structures to enable efficient and numerically stable analysis of thermal fluctuations and long RNA sequences.

Key Features:

• Maximum-span constraint: Reduces computational complexity for long RNAs by enforcing a maximum-span constraint to enable efficient analysis of extensive RNA sequences.
• Extended logsumexp and accuracy-guaranteed numerical computation: Employs extended logsumexp and accuracy-guaranteed numerical computation to prevent overflow and minimize significant numerical errors.
• Thermal fluctuation analysis: Analyzes probability distributions of RNA secondary structures under varying thermal conditions, with particular relevance to thermophilic organisms.

Scientific Applications:

• Thermal stability studies of 16S ribosomal RNAs: Applied to analyze the stability of 16S ribosomal RNAs across temperatures with results that align with studies of thermophilic bacteria.
• Quantitative assessment of numerical stability: Provides a quantitative framework to assess and validate numerical stability in RNA secondary-structure probability computations.

Methodology:

Decomposition of RNA secondary-structure probability distributions using extended logsumexp and accuracy-guaranteed numerical computation while enforcing a maximum-span constraint.