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Workflows for Galaxy Climate
Space: Independent Teams
Public web page: Not specified
The Galaxy Training Network (GTN) is a collection of hands-on tutorials that are designed to be interactive and are built around Galaxy.
These tutorials can be used for learning and teaching how to use Galaxy for general data analysis, as well as a wide array of hands-on tutorials covering specific domains such as assembly, RNA-Seq analysis, deep learning, climate analysis, and more!
Ongoing analysis of COVID-19 using Galaxy, BioConda and public research infrastructures https://covid19.galaxyproject.org
Space: COVID-19 Biohackathon
Public web page: https://github.com/galaxyproject/SARS-CoV-2
Space: Independent Teams
Public web page: Not specified
German Engineering Materials Science Center (GEMS) at Heinz Maier-Leibnitz Zentrum (MLZ), Helmholtz-Zentrum Hereon
Space: Independent Teams
Public web page: https://www.hereon.de/neutrons
This repository contains the workflow files (.ga) for this project.
Space: Independent Teams
Public web page: Not specified
We are dedicated to designing efficient genome data compression algorithms and developing related tools to address the challenges of large-scale genome data storage and transmission. Our goal is to reduce data storage costs and improve data processing efficiency through advanced technology, thereby advancing genomic research.
Space: GenomeDataCompression
Public web page: Not specified
Space: Institute of Environmental Science and Research
Public web page: https://github.com/ESR-NZ
GenX implements Confidential Computing technologies for privacy-preserving multi-party genomic and medical data analysis.
Space: Independent Teams
Public web page: https://genx.network/
This is a test WorkflowHub Account
Space: Independent Teams
Public web page: Not specified