Wrapper to take GBOOST-format input data, permute phenotypes, output new input files, and call the GBOOST binary to perform a scan for epistasis. The GBOOST output given permuted phenotypes will be used downstream to calculate the distribution of test statistics under the null model.
Input: 152M, Output: 344M
Last two weeks I performed a set tests with Manesh B. Shah
Manesh used the Client to submit jobs to the PanDA
Next step is to prepare the pilot package to be run under BIF102 project
5 of 8
IceCube (1/2)
Benchmark application (packaged in a singularity container) (GPU)
walltime=00:05:00,nodes=1
Successfully ran via PanDA, not yet reported to IceCube
1,5 weeks ago I had a phone call with IceCube
The idea of the call was to present a user guidance of using PanDA@ORNL and answer the questions