RGAugury¶
Description¶
Welcome to the RGAugury project. This project aims to develop a sophisticated informatics tools for large scale of resistance gene analogs identification, including major groups of RGAs, such as NBS encoding genes, receptor like proteins and receptor like protein kinases.
Environment Modules¶
Run module spider rgaugury
to find out what environment modules are available for this application.
Environment Variables¶
Additional Usage Information¶
To run RGAugury, you should consider the following command usage as an example:
$ rgaugury </path/to/input_dir> -p <filename> -<other_arguments>
$ RGAugury.pl </path/to/input_dir> -p <filename> -<other_arguments>
Citation¶
If you publish research that uses RGAugury you have to cite it as follows:
Li, P., Quan, X., Jia, G., Xiao, J., Cloutier, S. and You, F.M. (2016) RGAugury: a pipeline for genome-wide prediction of resistance gene analogs (RGAs) in plants. BMC genomics, 17, 852.
Categories¶
sequencing, biology