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Best Practice Of Adopting Kubernetes On Genome Sequencing

Best Practice Of Adopting Kubernetes On Genome Sequencing

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The data analysis of genomic sequencing contains many processing steps and each step is independent. In the practice of using Kubernetes for sequencing, the main difficulties to be overcome are: (1) The traditional software installation process is complicated. (2) Data upload channel establishment & data sharing among all processing steps. (3) use k8s objects for so many steps will be tedious, so need an orchestration mechanism to automate the entire process.
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