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About eLwazi

The platform, which is accessed via user workspaces, will enable discovery of local and federated cohorts and datasets and provide seamless access to a suite of tools and workflows that enable reproducible data analysis and cross-consortium projects. These will be interfaced with a choice of computing infrastructures that are feasible for African scientists, including public and private Cloud and local HPC facilities and, where necessary, protected through authorization and authentication access protocols. The first implementations of eLwazi use Terra (https://elwazi.terra.bio/), which accesses Google Cloud and Gen3, which uses Amazon Web Services.

The Platform Includes 3 Main Components:

Infrastructure

Terra or Gen3 implementations with workspaces and links to specific Cloud or local computing environments. Currently Terra provides access to Google Cloud Platform and Gen3 to Amazon Web Services.

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Data

Datasets are hosted in different computing environments, available through a Data Registry Service. Metadata for the datasets will be searchable via an eLwazi Data Catalog.

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Tools

Tools and workflows are available in different computing environments through Dockstore, and accessible via a Tool Registry Service. Workflows are executed in selected cloud environments using the GA4GH Workflow Execution Service standard.

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