About us
Learn how GA4GH helps expand responsible genomic data use to benefit human health.
Cloud Work Stream
Standardises how researchers bring algorithms to data — or define, share, and execute portable workflows in any cloud environment, securely and easily.
Modern cloud computing environments offer unprecedented access to large amounts of data, but the genomics and health communities have yet to take full advantage. The Cloud Work Stream develops standards that help “bring the algorithms to the data” — running experiments in the cloud rather than downloading the data first. The Work Stream standardises how to securely define, share, and execute any portable workflows in any kind of cloud environment.
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Image summary: The Cloud Work Stream helps the genomics and health communities take full advantage of modern cloud environments by bringing algorithms to data.
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Technical description
Empowers the genomics and health communities to take full advantage of modern cloud environments. Helps users “bring the algorithms to the data” — securely define, share, and execute portable workflows in any cloud.
Products
Data Repository Service (DRS)
Provides a standardised set of data retrieval methods
Task Execution Service (TES)
Provides a standard mechanism for orchestrating complex analyses across different compute environments
Tool Registry Service (TRS)
Provides a standard mechanism to list, search, and retrieve tools and workflows across multiple registries
Workflow Execution Service (WES)
Describes a protocol for running the same genomic data analysis in multiple cloud environments
Publications
Community Resources
Dive deeper into our Work Stream! Cloud empowers the genomics and health communities to take full advantage of modern cloud environments, especially by “bringing the algorithms to the data.” Cloud products help users securely define, share, and execute portable workflows in any cloud environment. Capabilities include providing a standardised set of data retrieval methods or describing a protocol for running the same genomic data analysis in multiple cloud environments.
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Date
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Info
12 Mar 2024
The document describes the high-level 2024 goals for the GA4GH Cloud Work Stream.
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27 Aug 2024
24 May 2024
12 Mar 2024
15 Dec 2023
7 Nov 2023
19 Sep 2023
14 Sep 2023
14 Sep 2023
8 Jun 2020
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Don't see your name? Get in touch:
- Jeremy Adams
DNAstack - Peter Amstutz
Curii - Salvador Capella-Gutierrez
Barcelona Supercomputing Center - Dashrath Chauhan
EMBL's European Bioinformatics Institute (EBI) - James Eddy
Sage Bionetworks - Kyle Ellrott
Oregon Health & Science University - Kyle Ferriter
Broad Institute of MIT and Harvard - Marc Fiume
DNAstack - Ian Fore
NIH National Center for Biotechnology Information (NCBI) - Lakshya Garg
Google Summer of Code - David Glazer
Verily - Christopher Llanwarne
Broad Institute of MIT and Harvard - Michael Lukowski
University of Chicago - Patrick Magee
DNAstack - Venkat Malladi
Microsoft - Matt McLoughlin
Microsoft - Tommi Nyrönen
CSC – IT CENTER FOR SCIENCE - Brian O'Connor
Sage Bionetworks - Lee Pang
Amazon Web Services, Ltd. (AWS) - Shaikh Farhan Rashid
University Health Network, Canadian Distributed Infrastructure for Genomics (CanDIG) - Surya Saha
Seven Bridges Genomics, Inc. - Sarah Salahi
Broad Institute of MIT and Harvard - David Steinberg
University of California, Santa Cruz - Jonathan Tedds
ELIXIR - Susheel Varma
Information Commissioner's Office - Douglas Voet
Broad Institute of MIT and Harvard - Denis Yuen
Ontario Institute for Cancer Research (OICR) - Christina Yung
Ontario Institute for Cancer Research (OICR), Indoc Research