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. Author manuscript; available in PMC: 2023 Sep 7.
Published in final edited form as: Neuron. 2022 Jul 22;110(17):2771–2789.e7. doi: 10.1016/j.neuron.2022.06.018

Figure 2: Overview of NeuroCAAS User Workflow.

Figure 2:

Left indicates the user’s experience; right indicates the work that NeuroCAAS performs. The user chooses from the analyses encoded in NeuroCAAS. They then modify corresponding configuration parameters as needed. Finally, the user uploads dataset(s) and a configuration file for analysis. NeuroCAAS detects upload event and deploys the requested analysis using an infrastructure blueprint (§2.1.4). NeuroCAAS builds the appropriate number of IAEs (§2.1.1) and corresponding hardware instances (§2.1.3). Multiple infrastructure stacks may be deployed in parallel for multiple datasets and the job manager (§2.1.2) automatically handles input and output scaling. The deployed resources persist only as necessary, and results, as well as diagnostic information, are automatically routed back to the user. See Figure S1 for comparison with IaGS, and Figure S3 for IAE list.