Andre Figueiredo Rendeiro, Charles Kyriakos Vorkas, Jan Krumsiek, Harjot Singh, Shashi N Kapadia, Luca Vincenzo Cappelli, Maria Teresa Cacciapuoti, Giorgio Inghirami, Olivier Elemento, Mirella Salvatore. Metabolic and immune markers for precise monitoring of COVID-19 severity and treatment. MedRxiv (2021). doi:10.1101/2021.09.05.21263141
- The data directory contains the assay data (NMR).
- The metadata directory contains metadata relevant to annotate the samples.
- The src directory contains source code used to analyze the data.
- Outputs from the analysis will be present in a
results
directory, with subfolders pertaining to each part of the analysis as described below.
To see all available steps type:
$ make help
Makefile for the covid-metabolomics project/package.
Available commands:
help Display help and quit
requirements Install Python requirements
convert [dev] Convert R data to CSV/parquet
analysis Run project analysis
To reproduce analysis, simply do:
$ make requirements
$ make
If you wish to run a portion of the analysis interactively say with IPython, make sure the repository root is added to your PYTHONPATH
to allow importing of the src
module. IPython may already do this by default.
- Python 3.8+ (running on 3.8.2)
- Python packages as specified in the requirements file - install with
make requirements
orpip install -r requirements.txt
.