项目作者: pnpnpn

项目描述 :
GIMSAN: motif-finder with biologically realistic and reliable statistical significance analysis
高级语言: C
项目地址: git://github.com/pnpnpn/gimsan-py.git
创建时间: 2016-01-10T21:26:19Z
项目社区:https://github.com/pnpnpn/gimsan-py

开源协议:MIT License

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GIMSAN

http://www.cs.cornell.edu/~ppn3/gimsan/

Installation

  1. Install required Python libraries:

    1. sudo pip install -r requirements.txt
  2. Compile GibbsMarkov and ColumnDependency:

    1. ./compile_clean.sh

Usage Example

  1. 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.

  2. Submit GIMSAN job using window-sampling:

    1. ./gimsan_submit.py --conf=conf_examples/test_window_sampling.cfg -v
  3. Generate results and HTML output for GIMSAN job. If parameter main_output_dir=testout/
    is set in configuration file, then run:

    1. ./gimsan_result.py --dir=testout
  4. Open HTML file testout/ABF1_YPD_mod/output.html