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README.md

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# Snippy
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Rapid haploid variant calling and core genome alignment
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## Author
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[Torsten Seemann](https://twitter.com/torstenseemann)
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## Synopsis
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Snippy finds SNPs between a haploid reference genome and your NGS sequence
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## Conda
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Install [Bioconda](https://bioconda.github.io/user/install.html) then:
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```
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conda install -c conda-forge -c bioconda -c defaults snippy
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```
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## Homebrew
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Install [Homebrew](http://brew.sh/) (MacOS)
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or [LinuxBrew](http://linuxbrew.sh/) (Linux) then:
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```
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brew install brewsci/bio/snippy
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```
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## Source
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This will install the latest version direct from Github.
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You'll need to add Snippy's `bin` directory to your `$PATH`.
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```
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cd $HOME
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git clone https://github.com/tseemann/snippy.git
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$HOME/snippy/bin/snippy --help
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conda install -c conda-forge -c bioconda snippy
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```
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# Check installation
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Please submit suggestions and bug reports to the
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[Issue Tracker](https://github.com/tseemann/snippy/issues)
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## Requirements
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* perl >= 5.18
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* bioperl >= 1.7
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* bwa mem >= 0.7.12
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* minimap2 >= 2.0
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* samtools >= 1.7
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* bcftools >= 1.7
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* bedtools >= 2.0
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* GNU parallel >= 2013xxxx
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* freebayes >= 1.1 (freebayes, freebayes-parallel, fasta_generate_regions.py)
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* vcflib >= 1.0 (vcfstreamsort, vcfuniq, vcffirstheader)
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* [vt](https://genome.sph.umich.edu/wiki/Vt) >= 0.5
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* snpEff >= 4.3
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* samclip >= 0.2
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* seqtk >= 1.2
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* snp-sites >= 2.0
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* any2fasta >= 0.4
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* wgsim >= 1.8 (for testing only - `wgsim` command)
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## Bundled binaries
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For Linux (compiled on Ubuntu 16.04 LTS) and macOS (compiled on High Sierra Brew)
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some of the binaries, JARs and scripts are included.
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## Author
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[Torsten Seemann](https://twitter.com/torstenseemann)
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