A repository with data, articles and practical sessions to explore PCA, MDS, Structure and many other methods, in the context of Population Genetics.
README.md
: This documentAgenda.md
: A document listing the (planned) schedule of sessions starting with Sep 3, 2021papers/
: A folder with PDFs of discussed papersdata/
: A folder which contains the raw data to start analyses from, such as PLINK datasets or other datasets required for the analyses. The large files in this folder (such as.bim
and.bed
files) are tracked viagit lfs
, which is available for up to dozens of GB on the MPCDF gitlab instancenotebooks/
: A folder with Jupyter notebooks for the practical sessions.
In order to run the notebooks interactively, there are two options.
we recommend that you first install miniconda (https://docs.conda.io/en/latest/miniconda.html). Once installed, you can use our environment file to easily install all the tools you need for this session.
First, clone the github repository if you haven't done so already:
git clone https://github.com/stschiff/exp_dat_reading_group_2021.git
cd exp_dat_reading_group_2021
If you have already cloned the repository you can make sure you have the latest update by running git pull inside of it.
Once miniconda has been installed, you can install the environment via:
conda env create -f environment.yml
conda activate PCA_and_friends
That's it. Now you should have all the tools ready.
In order start the notebook server, run jupyter lab
from your command line inside your clone of this repository.