GenRGenS: software for generating random genomic sequences and structures | Zendy

Yann Ponty | Zendy; Michel Termier | Zendy; Alain Denise | Zendy

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GenRGenS: software for generating random genomic sequences and structures

Author(s) -

Yann Ponty,

Michel Termier,

Alain Denise

Publication year - 2006

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btl113

Subject(s) - computer science , markov chain , context free grammar , software , context (archaeology) , rule based machine translation , hidden markov model , sequence (biology) , theoretical computer science , markov model , programming language , artificial intelligence , machine learning , genetics , biology , paleontology

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.

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