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GitHub / awslabs / guidance-for-multi-omics-and-multi-modal-data-integration-and-analysis-on-aws

This guidance creates a scalable environment in AWS to prepare genomic, clinical, mutation, expression and imaging data for large-scale analysis and perform interactive queries against a data lake. The solution also demonstrates the use of Amazon Omics for multi-modal analysis.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/awslabs%2Fguidance-for-multi-omics-and-multi-modal-data-integration-and-analysis-on-aws

Stars: 24
Forks: 8
Open issues: 5

License: apache-2.0
Language: Jupyter Notebook
Size: 179 KB
Dependencies parsed at: Pending

Created at: about 5 years ago
Updated at: 8 months ago
Pushed at: about 1 year ago
Last synced at: 2 days ago

Topics: aws, life-sciences, multimodal, multimodality

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