All code necessary to replicate analyses for identifying if Alzheimer's disease-association genetic variants impact ramp sequences. Specifically looks at the ramp sequence in PILRA. Descriptions of files with usage examples are found below.
PILRA PCR Plot.py creates a violin plot showcasing the PILRA wildtype and mutant relative expression levels using the data from the qPCR experiment.
PILRA PCR Plot.py uses Python version 3.6
Python Libraries:
- seaborn
- pandas
- matplotlib.pyplot
- matplotlib.ticker
PILRA ELISA Plot.py creates a violin plot showcasing the PILRA wildtype and mutant total protein concentrations using the csv file from the ELISA experiment.
Input: csv data file from ELISA experiment
Output: png file of violin plot comparing the wildtype and mutant protein concentrations
IN THIS ORDER WITH SPACES IN BETWEEN EACH ARGUMENT
- Path to csv data file
- Path for output png file
Example Command:
python3 PILRA_ELISA_plot.py PILRA_ramp/Manuscript/ELISA_data.csv path/to/output/directory
The output should match ELISAplot.png in the expected outputs directory.
PILRA ELISA Plot.py uses Python version 3.6
Python Libraries:
- seaborn
- pandas
- matplotlib.pyplot
- argparse