File:Fig4 Schulz JofPathInformatics2016 7.jpg

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Summary

Description

Figure 4. Illustration of parallelization improvements with a workflow-driven container architecture. (a) When performed serially, the download (white bars) and analysis (shaded bars) of a single pair of tumor and germline sequence on local hardware took approximately four hours (bars drawn to scale). (b) When parallelized with a workflow manager and Docker containers, multiple specimens could be processed simultaneously to take advantage of all system resources, including network, memory, and processor capacity.

Source

Schulz, W.L.; Durant, T.; siddon, A.J.; Torres, R. (2016). "Use of application containers and workflows for genomic data analysis". Journal of Pathology Informatics 7: 53. doi:10.4103/2153-3539.197197. 

Date

2016

Author

Schulz, W.L.; Durant, T.; siddon, A.J.; Torres, R.

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current01:04, 17 January 2017Thumbnail for version as of 01:04, 17 January 20171,210 × 656 (123 KB)Shawndouglas (talk | contribs)

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