Gibbs/MCMC Sampling for Multiple RNA Interaction with Sub-optimal Solutions

DOI10.1007/978-3-319-38827-4_7zbMath1346.92050OpenAlexW2501301043MaRDI QIDQ2823015

Saad Mneimneh, Syed Ali Ahmed

Publication date: 6 October 2016

Published in: Algorithms for Computational Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-38827-4_7

zbMATH Keywords

clusteringMetropolis-Hastings algorithmGibbs samplingRNA structuremultiple RNA interaction

Mathematics Subject Classification ID

Dynamic programming (90C39) Biochemistry, molecular biology (92C40) Protein sequences, DNA sequences (92D20)

Uses Software

• RNAG

Cites Work

• Unnamed Item
• Approximating the maximum multiple RNA interaction problem
• Predicting RNA secondary structures with pseudoknots by MCMC sampling
• Approximation Algorithms for the Maximum Multiple RNA Interaction Problem
• Thermodynamic Analysis of Interacting Nucleic Acid Strands
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Biological Sequence Analysis
• The Collapsed Gibbs Sampler in Bayesian Computations with Applications to a Gene Regulation Problem
• A Combinatorial Approach for Multiple RNA Interaction: Formulations, Approximations, and Heuristics
• Monte Carlo sampling methods using Markov chains and their applications
• Research in Computational Molecular Biology

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