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Update doc/source/admin/special_topics/mulled_containers.rst
Co-authored-by: Nicola Soranzo <nicola.soranzo@gmail.com>
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Nicola Soranzo
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@@ -25,7 +25,7 @@ requirement field.
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This approach has shown two limitations that slowed down the adoption by tool developers.
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First, every tool needs to be annotated with a container name (as shown above) and this container needs
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to be created beforehand, usually manually. The second reason is that Galaxy tools should be deployable everywhere,
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independent of the underlying system, meaning if Docker is not available Galaxy should use Conda packages.
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regardless of the underlying system, meaning that if Docker is not available, Galaxy should use Conda packages instead.
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This puts an additional burden on tool developers who need to take care of two dependency resolvers. This setup can cause
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different tool results depending on the resolver, because both the Conda package and the Docker container are
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usually not created out of the same recipe and maybe were compiled in a different way, use different sources etc.
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