Introduction to stochastic context free grammars.

  title={Introduction to stochastic context free grammars.},
  author={Robert Giegerich},
  journal={Methods in molecular biology},
Stochastic context free grammars are a formalism which plays a prominent role in RNA secondary structure analysis. This chapter provides the theoretical background on stochastic context free grammars. We recall the general definitions and study the basic properties, virtues, and shortcomings of stochastic context free grammars. We then introduce two ways in which they are used in RNA secondary structure analysis, secondary structure prediction and RNA family modeling. This prepares for the… CONTINUE READING
Highly Influential
This paper has highly influenced 12 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 143 citations. REVIEW CITATIONS

From This Paper

Figures and tables from this paper.


Publications citing this paper.
Showing 1-10 of 98 extracted citations

Finite-horizon covariance control of linear time-varying systems

2017 IEEE 56th Annual Conference on Decision and Control (CDC) • 2017
View 9 Excerpts
Highly Influenced

Topological language for RNA

Mathematical biosciences • 2016
View 17 Excerpts
Highly Influenced

Stabilization of a Delayed Quantum System: The Photon Box Case-Study

IEEE Transactions on Automatic Control • 2012
View 6 Excerpts
Highly Influenced

Bayesian optimal control for a non-autonomous stochastic discrete time system

Applied Mathematics and Computation • 2016
View 5 Excerpts
Highly Influenced

143 Citations

Citations per Year
Semantic Scholar estimates that this publication has 143 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.

Similar Papers

Loading similar papers…