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.
::DEVELOPER
Ziding Zhang’s Lab, China Agricultural University
:: SCREENSHOTS
N/A
:: REQUIREMENTS
- Linux
- Python
- BioPython
- HHsuite
- BLAST+ suite
:: DOWNLOAD
:: 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.