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BMCBI
2005
162views more  BMCBI 2005»
13 years 4 months ago
Accelerated probabilistic inference of RNA structure evolution
Background: Pairwise stochastic context-free grammars (Pair SCFGs) are powerful tools for evolutionary analysis of RNA, including simultaneous RNA sequence alignment and secondary...
Ian Holmes
BMCBI
2004
126views more  BMCBI 2004»
13 years 4 months ago
A probabilistic model for the evolution of RNA structure
Background: For the purposes of finding and aligning noncoding RNA gene- and cis-regulatory elements in multiple-genome datasets, it is useful to be able to derive multi-sequence ...
Ian Holmes
RECOMB
2006
Springer
14 years 4 months ago
Detecting the Dependent Evolution of Biosequences
Abstract. A probabilistic graphical model is developed in order to detect the dependent evolution between different sites in biological sequences. Given a multiple sequence alignme...
Jeremy Darot, Chen-Hsiang Yeang, David Haussler
RECOMB
2011
Springer
12 years 7 months ago
Rich Parameterization Improves RNA Structure Prediction
Motivation. Current approaches to RNA structure prediction range from physics-based methods, which rely on thousands of experimentally-measured thermodynamic parameters, to machin...
Shay Zakov, Yoav Goldberg, Michael Elhadad, Michal...
BMCBI
2010
229views more  BMCBI 2010»
13 years 4 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck