Aug 252015
 

OSS-HMM

:: DESCRIPTION

OSS-HMM (Optimal Secondary Structure prediction Hidden Markov Model) is a software for secondary structure predictions (3 states, alpha helix, H, beta strand, b and coils, C) that is based on a hidden Markov model formalism. When it is used with a single sequence it provides a Q3 of 68.8%. When it is used with a multiple sequence alignment it provides a Q3 of 75.5%. This tool can also be used for generating protein sequences having a given secondary structure pattern

::DEVELOPER

Mathématique, Informatique et Génome Laboratory

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

   OSS-HMM

:: MORE INFORMATION

Citation

J Martin, J-F Gibrat and F Rodolphe, (2006).
Analysis of an optimal hidden Markov model for secondary structure prediction.
BMC Structural Biology, 6:25 (20p.).

334 views

Sorry, the comment form is closed at this time.