GenRGenS: software for generating random genomic sequences and structures

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GenRGenS: software for generating random genomic sequences and structures

SUMMARY 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 mo...

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Generating Random Genomic Sequences and Structures with GenRGenS

Random sequences can be used to extract relevant information from biological sequences. The random sequences represent the “background noise” from which it is possible to differentiate the real biological information. For example, random sequences are widely used to detect over-represented and under-represented motifs, or to determine whether the scores of pairwise alignments are relevant. Anal...

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Biometrics are traditionally employed in user authentication and authorization mechanisms. The vast majority of research effort focuses on applications of biometrics in authentication, aiming to replace passwords as the access control mechanism for cryptographic keys in one way or another. However, the inherent variability in biometrics presents a readily available source of randomness, which, ...

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Random generation of structured genomic sequences

Random sequences are very useful in bioinformatics. According to a very powerful paradigm, they represent the “background noise” from which the actual biological information must differentiate. For example, random sequences are widely used in order to detect overand under-represented motifs, or to determine whether scores of pairwise alignments are relevant. Analytic approaches do exist for the...

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ژورنال

عنوان ژورنال: Bioinformatics

سال: 2006

ISSN: 1367-4803,1460-2059

DOI: 10.1093/bioinformatics/btl113