here for the newest version)GenoWAP (Deprecated! See
Post-GWAS Prioritization through Integrated Analysis of Functional Annotation
To install these packages, you can conveniently use pip. For example,
pip install numpy
pip install --user numpy
Python2 vs. Python3
prioritize2.py is the python2 compatible version, and prioritize3.py is the python3 version. The latter version has slightly better precision (14 vs 18 digits after decimal point)
GenoWAP [-h] [-o DESTINATION_PATH] [-b NBINS] [-t THRESHOLD] [-a ANNOTATION_PATH] GWAS_DATA_PATH
When ANNOTATION_PATH is not specified, GenoWAP tries to download data from GenoCanyon, and save to file "temp.data" in the current directory.
GenoWAP -h for more detail
The following format is for both GWAS_DATA and ANNOTATION:
A text file with n lines, each line contains chromosome number, coordinate and the GWAS p-value, separated by one tab (i.e.
Note: the data given is assumed to contain no duplicated entries. If it does, then the duplicated entries will be ignored during computation and removed from output.
freeze.py is used for building executables. Please use cx_Freeze for the build:
Make sure all dependencies are installed for the preferred python version with which you wish to run GenoWAP.
Rename the correct python source code to GenoWAP.py
pythonpoints to the preferred version of python):
python freeze.py build
The executable will be named
GenoWAP under the