BEAN 2.0 – Bacteria Effector ANalyzer

BEAN 2.0

:: DESCRIPTION

BEAN is a machine learning based algorithm to predict type-III effectors in bacterial pathogens. It uses features of type-III secretion signal learned from known type-III effectors to predict query proteins as effectors or non-effectors.

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::DEVELOPER

Ziding Zhang’s Lab, China Agricultural University

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 BEAN

:: MORE INFORMATION

Citation

Database (Oxford). 2015 Jun 27;2015:bav064. doi: 10.1093/database/bav064.
BEAN 2.0: an integrated web resource for the identification and functional analysis of type III secreted effectors.
Dong X, Lu X, Zhang Z.

PLoS One. 2013;8(2):e56632. doi: 10.1371/journal.pone.0056632.
Using weakly conserved motifs hidden in secretion signals to identify type-III effectors from bacterial pathogen genomes.
Dong X1, Zhang YJ, Zhang Z.