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This repo contains code that is relevant for the analysis (Mapping, BAM qc, Variant Calling, Filtering etc...) of IGSR data

Home Page: http://www.internationalgenome.org/

License: Apache License 2.0

Python 19.58% Perl 10.31% Jupyter Notebook 65.66% R 0.03% Nextflow 4.27% Dockerfile 0.14%
python jupyter-notebook perl snp-genotyping snp-data pipelines rna-seq nextflow-pipelines

igsr_analysis's Introduction

This repo contains code that is relevant for the analysis (Mapping, BAM qc, Variant Calling, Filtering etc...) of IGSR data

The International Genome Sample Resource (IGSR) is a project funded by the Wellcome Trust created after the finalization of the 1000 Genomes Project in order to maintain and expand the resource. It has the following aims:

  • Ensure the future access to and usability of the 1000 Genomes reference data
  • Incorporate additional published genomic data on the 1000 Genomes samples
  • Expand the data collection to include new populations not represented in the 1000 Genomes Project

This repository contains code used in the different analyses pipelines that we use in the project. To use this code please follow the steps described below

Preparing environment

Modify your $PYTHONPATH to include the required libraries:
export PYTHONPATH=${ehive_dir}/wrappers/python3/:$PYTHONPATH

Modify your $PERL5LIB to include the required libraries:
export PERL5LIB=${ehive_dir}/modules/:${igsr_analysis_dir}/:${PERL5LIB}

Modify your $PATH to include the location of the eHive scripts: export PATH=${ehive_dir}/scripts/:${PATH}

Install the igsr_analysis package from PyPI

pip install igsr_analysis

And you are ready to go!

Conventions used in this README file:

${igsr_analysis_dir} is the folder where you have cloned https://github.com/igsr/igsr_analysis.git
${ehive_dir} is the folder where you have cloned https://github.com/Ensembl/ensembl-hive.git

DOI

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