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Fig. 7 | BMC Bioinformatics

Fig. 7

From: CNVind: an open source cloud-based pipeline for rare CNVs detection in whole exome sequencing data based on the depth of coverage

Fig. 7

Comparison of the depth of coverage normalization computation times for the CNVind application on a single machine with multiple cores and in Microsoft Azure cloud. The diagram presents the changes in the computation time for the CNVind tool in the Microsoft Azure cloud and on a single machine with multiple cores. The comparison showed that as the degree of parallelization increases, the computation time decreases linearly. As the degree of parallelization of calculations in the case of (I) the single machine with multiple cores, we assume the number of Docker images working in parallel, and (II) in the case of the Microsoft Azure cloud—the number of pods working in parallel. For comparison, the computation time for the baseline version of the CODEX and exomeCopy tool (only a single normalization process occurs for all sequencing regions) is equal to 14 min 38 s and 12 min 52 s, respectively.

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BMC Bioinformatics

ISSN: 1471-2105

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