Apr 282016
 

STAN 1.4.0

:: DESCRIPTION

STAN implements bidirectional Hidden Markov Models (bdHMM), which are designed for studying directed genomic processes, such as gene transcription, DNA replication, recombination or DNA repair by integrating genomic data.

::DEVELOPER

Tresch Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / windows/ MacOsX
  • R

:: DOWNLOAD

  STAN

:: MORE INFORMATION

Citation

Annotation of genomics data using bidirectional hidden Markov models unveils variations in Pol II transcription cycle.
Zacher B, Lidschreiber M, Cramer P, Gagneur J, Tresch A.
Mol Syst Biol. 2014 Dec 19;10:768. doi: 10.15252/msb.20145654.

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