DeepGS

Description

deepgs website  

The R package 'DeepGS' can be used to perform genomic selection (GS), which is a promising breeding strategy in plants and animals. DeepGS predicts phenotypes using genomewide genotypic markers with an advanced machine learning technique (deep learning). The effectiveness of DeepGS has been demonstrated in predicting eight phenotypic traits on a population of 2000 Iranian bread wheat (Triticum aestivum) lines from the wheat gene bank of the International Maize and Wheat Improvement Center (CIMMYT).

Environment Modules

Run module spider deepgs to find out what environment modules are available for this application.

System Variables

• HPC_DEEPGS_DIR - installation directory
• HPC_DEEPGS_BIN - executable directory

Citation

If you publish research that uses deepgs you have to cite it as follows:

Ma, W., Qiu, Z., Song, J., Li, J., Cheng, Q., Zhai, J., & Ma, C. (2018). A deep convolutional neural network approach for predicting phenotypes from genotypes. Planta, 248(5): 1307-1318.