Literature DB >> 24639156

Introduction to stochastic context free grammars.

Robert Giegerich1.   

Abstract

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 discussion of applications of stochastic context free grammars in the chapters on RFAM (6), Pfold (8), and INFERNAL (9).

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Year:  2014        PMID: 24639156     DOI: 10.1007/978-1-62703-709-9_5

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

1.  Ambivalent covariance models.

Authors:  Stefan Janssen; Robert Giegerich
Journal:  BMC Bioinformatics       Date:  2015-05-28       Impact factor: 3.169

Review 2.  Using RNA Sequence and Structure for the Prediction of Riboswitch Aptamer: A Comprehensive Review of Available Software and Tools.

Authors:  Deborah Antunes; Natasha A N Jorge; Ernesto R Caffarena; Fabio Passetti
Journal:  Front Genet       Date:  2018-01-19       Impact factor: 4.599

  2 in total

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