This repository contains the code used for the analyses described in our manuscript "Polygenic architecture of human neuroanatomical diversity" (Preprint: https://www.biorxiv.org/content/10.1101/592337v3).
We used this code to analyse the genomic architecture of neuroanatomical diversity using magnetic resonance imaging and SNP data from > 26,000 individuals.
The project organisation is inspired by that of the Data Science Cookie Cutter. Raw data is stored in /data/raw and converted depending on its particularities to a dataset that is stored in /data/derived. Here, the dataset /data/derived/test is provided as illustration and for testing purposes.
git submodule init
git submodule update
conda config --add channels bioconda
conda config --add channels r
conda config --add channels conda-forge
conda config --add channels defaults
conda install --file requirements.txt
conda install --file requirements_r.txt
python3 src/00.run_all.py src/config/test.yml