STAN 2.20.0
:: 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
STAN team
:: 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.