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Caveman only takes 2 bam files as input. However you could merge several sample bams together and use that as the normal bam. This isn't something we've tried, so I'm not sure how the algorithm will perform. Please remember depth increases both runtime and memory requirement so you may need to be careful in how many samples you merge together for this purpose. You may need to downsample if you want to use a large pool of normals.
Is it possible to provide several samples as normal?
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