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aws

This is the github repository for the Eichler lab Amazon Web Services (AWS) pipelines

Eichler Lab Cloud Cost sheets as of August 1, 2016 (On-demand)

Pipeline Analysis type Instance type Instance cost per hour ($) Volume size Volume cost per hour ($) Number of cores on instance Memory (GB) on instance Number of samples run in test Actual hours to run cpu hours by analysis type cpu hours by sample cost per sample ($)
FreeBayes Family m4.10xlarge 2.394 1 x 1000 GB 0.13 40 160 4 8 320 80 5.05
GATK Family m4.10xlarge 2.394 1 x 1000 GB 0.13 40 160 4 20 800 200 12.62
mrssnake mapping Sample m4.10xlarge 2.394 1 x 1000 GB 0.13 40 160 1 13 680 680 32.81
Lumpy Family m4.xlarge 0.239 1 x 1000 GB 0.13 4 16 4 8 24 8 0.74
QC Sample m4.2xlarge 0.479 1 x 1000 GB 0.13 8 32 4 7 56 14 1.07
VariationHunter Family m4.2xlarge 0.479 1 x 1000 GB 0.13 8 32 4 8 64 16 1.22
Wham Family m4.2xlarge 0.479 1 x 1000 GB 0.13 8 32 4 6 48 12 0.91
Whamg Family m4.2xlarge 0.479 1 x 1000 GB 0.13 8 32 4 4 32 8 0.61
SVTyper Family m4.xlarge 0.239 1 x 1000 GB 0.13 4 16 4 19 76 19 1.75
  • Note: QC includes Picard Hybridization Metrics, Picard WGS Metrics, Flagstat, Wham to calculate insert size median and standard deviation, Samtools to extract mitochondria. For mrssnake pipeline please see https://github.com/bnelsj/mrssnake.git