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Is your feature request related to a problem? Please describe.
One problem with cloud-based analysis in the life sciences is that most data is not yet available in cloud-compatible storage solutions, and data being generated is still largely managed on legacy compute centers or invidiual researcher's laptops. Therefore, web portals that try to operationalize GA4GH Cloud-based analytics, such as Krini will need the ability to upload data.
Describe the solution you'd like
Implement a Web Component that supports user-friendly, reliable, resumable upload to an s3 storage backend (see #33). Before starting the implementation, please draft a brief design proposal. Include how you imagine the compoment to interact with components #33 as well as #33.
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe.
One problem with cloud-based analysis in the life sciences is that most data is not yet available in cloud-compatible storage solutions, and data being generated is still largely managed on legacy compute centers or invidiual researcher's laptops. Therefore, web portals that try to operationalize GA4GH Cloud-based analytics, such as Krini will need the ability to upload data.
Describe the solution you'd like
Implement a Web Component that supports user-friendly, reliable, resumable upload to an s3 storage backend (see #33). Before starting the implementation, please draft a brief design proposal. Include how you imagine the compoment to interact with components #33 as well as #33.
The text was updated successfully, but these errors were encountered: