Metadata-Version: 2.1
Name: iScanVCFMerge
Version: 1.1
Summary: Python tool to merge cross-species Illumina iScan genotype data with a reference set of genotypes from a pre-existing source.
Home-page: https://github.com/baneslab/iScanVCFMerge
Author: Banes, G. L., Meyers, J. and Fountain, E. D.
Author-email: banes@wisc.edu
License: MIT
Project-URL: Bug Tracker, https://github.com/baneslab/iScanVCFMerge/issues
Platform: any
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE

# iScanVCFMerge

iScanVCFMerge is a Python tool to facilitate the cross-species application of [Illumina iScan system](https://www.illumina.com/systems/array-scanners/iscan.html) microarrays. The tool merges VCF genotypes exported from [GenomeStudio](https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&ved=2ahUKEwiU08v-0MXyAhWWHM0KHczoAF0QFnoECAQQAQ&url=https%3A%2F%2Fwww.illumina.com%2Ftechniques%2Fmicroarrays%2Farray-data-analysis-experimental-design%2Fgenomestudio.html&usg=AOvVaw0c40T5Bip-n6ofC3v7NhFj) with a second VCF, comprising genotypes derived from other samples and sources. Merging is based on matches of chromosome, position and certain conditions of major and minor alleles, with matched rows from each VCF concatenated into a single row (comprising all individuals) in the output files. The full algorithm is explained in the [accompanying manuscript](https://doi.org/10.3389/fevo.2021.629252), where we reported use of the human [Infinium Multi-Ethnic Global](https://www.illumina.com/products/by-type/microarray-kits/infinium-multi-ethnic-global.html) and [Infinium Omni 2.5](https://www.illumina.com/products/by-type/microarray-kits/infinium-omni25-8.html) arrays (hg19) to genotype great apes, and merged those with the genotypes of conspecifics previously published elsewhere.

## What's new in version 1.1?
- Bugs fixed to properly handle some multi-allelic sites.
- The reference population VCF file must now be [bgzipped and indexed with tabix](https://www.biostars.org/p/59492/). This requirement does not apply to the iScan VCF file, which can either be uncompressed or gzip compressed.
- In the prior version, the complete reference population VCF file was read into memory before the relevant records were pulled. This caused issues for some users handling enormous reference VCF files. In this version, we use the [Pysam](https://github.com/pysam-developers/pysam) library's lightweight wrapper of the [htslib C-API](http://www.ncbi.nlm.nih.gov/pubmed/19505943) to pull only the relevant records in the first place. The script should now run near-instantaneously, irrespective of input file size.
- Console output is now handled by the Python logging module and is written to a .log file in the output directory.
- Version numbering now follows 1.x vs 0.x format for improved compatibility with PyPI.

## Installation

iScanVCFMerge 1.1 requires Python 3.9. It has been successfully tested on MacOS Big Sur 11.4 and on Ubuntu 21.04.

### Option 1: Github clone and run with Python3

    git clone "https://github.com/baneslab/iScanVCFMerge.git"
    cd iScanVCFMerge
    python3 iScanVCFMerge.py

If running the script directly with Python, you may also need to install the required packages, _e.g._:

    python3 -m pip install pandas pysam
    
### Run Option 2: Install with pip

    pip install iScanVCFMerge

or

    python3 -m pip install iScanVCFMerge

## Usage

    iScanVCFMerge [-h] -I <iScan_vcf> -R <reference_vcf> -O <output_directory>

Optional arguments:

    -h, --help                 Show the help message
    -I, --iScanVCF             Path to your iScan VCF file (.vcf or .vcf.gz)
    -R, --ReferenceVCF         Path to your reference VCF file, with which the iScan file will be merged. This must be bgzip compressed and be indexed with tabix
    -O, --output_directory     Name of the output directory (will be created if it doesn't exist)

## Citation

Please cite the use of this software as follows:

> Fountain, E. D., Zhou, L-C., Karklus, A., Liu, Q-X., Meyers, J., Fontanilla, I. K., Rafael, E. F., Yu, J-Y., Zhang, Q., Zhu, X-L., Pei, E-L., Yuan, Y-H. and Banes, G. L. (2021). Cross-species application of Illumina iScan microarrays for cost-effective, high-throughput SNP discovery. _Frontiers in Ecology and Evolution_, **9**:629252, doi: 10.3389/fevo.2021.629252.

The (Research Resource Identifier)[https://www.force11.org/group/resource-identification-initiative] for iScanVCFMerge is (RRID:SCR_021193)[https://scicrunch.org/resolver/RRID:SCR_021193].


