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We've run it on plants, animals and fungi with reference genomes up to several Gb. But the design goals apply broadly: Use compute and storage resources as efficiently as possible to speed up every stage.

- Downloads public data directly: just give it SRA/ENA accession numbers and it handles the rest. Obviously local fastq files work too. - Fully containerised: Singularity images mean your results are reproducible months later, on a different cluster. - Latest tools: GATK 4.6, bwa-mem 2.3, etc.

All processes are distributed using Nextflow & SLURM