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