GenRGenS: software for generating random genomic sequences and structures. GenRGenS is a software tool dedicated to randomly generating genomic sequences and structures. It handles several classes of models useful for sequence analysis, such as Markov chains, hidden Markov models, weighted context-free grammars, regular expressions and PROSITE expressions. GenRGenS is the only program that can handle weighted context-free grammars, thus allowing the user to model and to generate structured objects (such as RNA secondary structures) of any given desired size. GenRGenS also allows the user to combine several of these different models at the same time.
Keywords for this software
References in zbMATH (referenced in 7 articles )
Showing results 1 to 7 of 7.
- Lorenz, William Andrew; Ponty, Yann: Non-redundant random generation algorithms for weighted context-free grammars (2013)
- Manzourolajdad, Amirhossein; Wang, Yingfeng; Shaw, Timothy I.; Malmberg, Russell L.: Information-theoretic uncertainty of SCFG-modeled folding space of the non-coding RNA (2013)
- Héam, Pierre-Cyrille; Masson, Catherine: A random testing approach using pushdown automata (2011)
- Denise, A.; Ponty, Y.; Termier, M.: Controlled non-uniform random generation of decomposable structures (2010)
- Gruber, Hermann; Holzer, Markus; Tautschnig, Michael: Short regular expressions from finite automata: empirical results (2009)
- Ponty, Yann: Efficient sampling of RNA secondary structures from the Boltzmann ensemble of low-energy (2008)
- Rouchka, Eric C.; Hardin, C. Timothy: Rmotifgen: Random motif generator for DNA and protein sequences (2007) ioport