GIMSAN: motif-finder with biologically realistic and reliable statistical significance analysis
http://www.cs.cornell.edu/~ppn3/gimsan/
Install required Python libraries:
sudo pip install -r requirements.txt
Compile GibbsMarkov and ColumnDependency:
./compile_clean.sh
Set and verify GIMSAN job configuration file conf_examples/test_window_sampling.cfg
.
Ensure your gimsan_home
and r_path
directory/path are pointing to the
correct location.
Submit GIMSAN job using window-sampling:
./gimsan_submit.py --conf=conf_examples/test_window_sampling.cfg -v
Generate results and HTML output for GIMSAN job. If parameter main_output_dir=testout/
is set in configuration file, then run:
./gimsan_result.py --dir=testout
Open HTML file testout/ABF1_YPD_mod/output.html