VOGUE 20090520 – Variable Order HMM with Duration

VOGUE 20090520

:: DESCRIPTION

VOGUE is a variable order and gapped HMM with with duration. It uses sequence mining to extract frequent patterns in the data. It then uses these patterns to build a variable order HMM with explicit duration on the gap states, for sequence modeling and classification. VOGUE was applied to model protein sequences, as well as a number of other sequence datasets including weblogs.

::DEVELOPER

Mohammed J. Zaki

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Python

:: DOWNLOAD

 VOGUE

:: MORE INFORMATION

Citation

Mohammed J. Zaki, Christopher D. Carothers and Boleslaw K. Szymanski,
VOGUE: A Variable Order Hidden Markov Model with Duration based on Frequent Sequence Mining.
ACM Transactions on Knowledge Discovery in Data, 4(1):Article 5. Jan 2010

Alien_hunter 1.7 – Interpolated Variable Order Motifs for Identification of Horizontally Acquired DNA

Alien_hunter 1.7

:: DESCRIPTION

Alien_hunter is an application for the prediction of putative Horizontal Gene Transfer (HGT) events with the implementation of Interpolated Variable Order Motifs (IVOMs).

::DEVELOPER

Alien_hunter team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 Alien_hunter

:: MORE INFORMATION

Citation

Interpolated variable order motifs for identification of horizontally acquired DNA: revisiting the Salmonella pathogenicity islands.
Vernikos GS and Parkhill J
Bioinformatics (Oxford, England)2006;22;18;2196-203