MED 2.1

:: DESCRIPTION

MED is a non-supervised prokaryotic gene prediction method which integrates MED2.0 and TriTISA, an iterative self-learning translation initiation site (TIS) prediction algorithm. As the update of MED2.0, MED 2.1 modifies the TIS model by replacing the previous one to TriTISA, which imoroves the prediction accuracies for both 3′ and 5′ ends.

::DEVELOPER

ZhuLab, Peking Uiniversity, Beijing

:: SCREENSHOTS

N/A

:: REQUIREMENTS

• Linux/ Windows

:: DOWNLOAD

 MED

:: MORE INFORMATION

Citation

Zhu,H.Q. et al. 2007
MED: a new non-supervised gene prediction algorithm forbacterial and archaeal genomes.
BMC Bioinformatics,8, 97

Gangqing,Hu. Et al. 2009.
Prediction of translation initiation site for microbial genomes with TriTISA.
Bioinformatics 25,123-125.