RNAG

:: DESCRIPTION

RNAG predicts consensus secondary structures for unaligned sequences. It uses a blocked Gibbs sampling algorithm, which has a theoretical advantage in convergence time. This algorithm iteratively samples from the conditional probability distributions P(Structure | Alignment) and P(Alignment | Structure).

RNAG Online Version

::DEVELOPER

Brown University Center for Computational Molecular Biology

:: SCREENSHOTS

N/A

:: REQUIREMENTS

• Windows/Linux/Solaris sparc
• Perl
• Python
• Probcons
• Vienna Package
• infernal

:: DOWNLOAD

 RNAG

:: MORE INFORMATION

Citation

Donglai Wei, Lauren V. Alpert and Charles E. Lawrence
RNAG: a new Gibbs sampler for predicting RNA secondary structure for unaligned sequences
ioinformatics (2011) 27 (18): 2486-2493.