https://github.com/igsr/igsr_analysis

This repo contains code that is relevant for the analysis (Mapping, BAM qc, Variant Calling, Filtering etc...) of IGSR data
https://github.com/igsr/igsr_analysis

jupyter-notebook nextflow-pipelines perl pipelines python rna-seq snp-data snp-genotyping

Last synced: about 1 month ago
JSON representation

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

• Host: GitHub
• URL: https://github.com/igsr/igsr_analysis
• Owner: igsr
• License: apache-2.0
• Created: 2017-08-09T09:48:48.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2022-12-08T02:26:18.000Z (almost 2 years ago)
• Last Synced: 2024-09-29T09:10:45.708Z (about 2 months ago)
• Topics: jupyter-notebook, nextflow-pipelines, perl, pipelines, python, rna-seq, snp-data, snp-genotyping
• Language: Jupyter Notebook
• Homepage: http://www.internationalgenome.org/
• Size: 15.6 MB
• Stars: 4
• Watchers: 8
• Forks: 5
• Open Issues: 12
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
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)](http://www.internationalgenome.org/) is a project funded by the [Wellcome Trust](https://wellcome.ac.uk/) 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](https://zenodo.org/badge/99792445.svg)](https://zenodo.org/badge/latestdoi/99792445)