Package: the-real-genotools
GenoToolsGetting StartedGenoTools is a suite of automated genotype data processing steps written in Python. The core pipeline was built for Quality Control and Ancestry estimation of data in the Global Parkinson's Genetics Program (GP2)To download the most current version from pip:pip install the_real_genotoolsAlternatively, if you'd like to download from github:git clone https://github.com/dvitale199/GenoTools.git
cd GenoTools
pip install .you can pull the most current references by running:genotools-downloadBy default, the reference panel will be downloaded to ~/.genotools/ref. but can be download to a location of choice with--destination.To download specific references/models, you can run the download with the following options:genotools-download --ref 1kg_30x_hgdp_ashk_ref_panel --model nba_v1 --destination /path/to/download_directory/Currently,1kg_30x_hgdp_ashk_ref_panelis the only available reference panel. Available models arenba_v1for the NeuroBooster array andneurochip_v1for the NeuroChip Array and both are in GRCh38. If using a different array, we would suggest training a new model by running the standard command below. Please ensure the reference panel and your genotypes are in the same build. If you're using our reference panel, your genotypes must be in GRCh38.Modify the paths in the following command to run the standard GP2 pipeline:genotools \
  --pfile /path/to/genotypes/for/qc \
  --out /path/to/qc/output \
  --ancestry \
  --ref_panel /path/to/reference/panel \
  --ref_labels /path/to/reference/ancestry/labels \
  --all_sample \
  --all_variantif you'd like to run the pipeline using an existing model, you can do that like so (take note of the--modeloption):genotools \
  --pfile /path/to/genotypes/for/qc \
  --out /path/to/qc/output \
  --ancestry \
  --ref_panel /path/to/reference/panel \
  --ref_labels /path/to/reference/ancestry/labels \
  --all_sample \
  --all_variant
  --model /path/to/nba_v1/modelif you'd like to run the pipeline using the default nba_v1 model in a Docker container, you can do that like so:genotools \
  --pfile /path/to/genotypes/for/qc \
  --out /path/to/qc/output \
  --ancestry \
  --ref_panel /path/to/reference/panel \
  --ref_labels /path/to/reference/ancestry/labels \
  --container \
  --all_sample \
  --all_variantNote: add the--singularityflag to run containerized ancestry predictions on HPCThis will find common snps between your genotype data and the reference panel, run PCA, UMAP-transform PCs, and train a new XGBoost classifier specific to your data/ref panel.genotools accept--pfile,--bfile, or--vcf. Any bfile or vcf will be converted to a pfile before running any steps.DocumentationGenoTools Command Line ArgumentsDefault Pipeline OverviewPackage Function Guide (for developers)AcknowledgementsGenoTools was developed as the core genotype and wgs processing pipeline for the Global Parkinson's Genetics Program (GP2) at the Center for Alzheimer's and Related Dementias (CARD) at the National Institutes of Health.This tool relies on PLINK, a whole genome association analysis toolset, for various genetic data processing functionalities. We gratefully acknowledge the developers of PLINK for their foundational contributions to the field of genetics. More about PLINK can be found attheir website.