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Currently, registering the proprietary source files involves running a few commands, and they're different for conda, docker, and singularity.
It would be good to make this process a single command that can take all source files and build it while you make a coffee.
Describe the solution you'd like
Probably the best solution would be to have something like the nextflow install method.
e.g.
curl -s "https://whereever.com/predector-env.sh" | sh - --signalp3 ./signalp3.tar.gz ...
I'm unsure if you can pipe the script to stdin of sh like that and still provide command line parameters, but it should be possible.
The reason that I like this idea, is that potentially it could make the build process look the same for each of the environments.
curl -s "https://whereever.com/predector-env-conda.sh" | sh - --signalp3 ./signalp3.tar.gz ...
curl -s "https://whereever.com/predector-env-docker.sh" | sh - --signalp3 ./signalp3.tar.gz ...
curl -s "https://whereever.com/predector-env-singularity.sh" | sh - --signalp3 ./signalp3.tar.gz ...
For docker the command is almost identical, but it would simplify things for conda and singularity.
I'm a bit unsure about this. I think the full version should be documented somewhere, but this might be a good "easy-install" method.
The text was updated successfully, but these errors were encountered:
What kind of feature are you proposing?
Currently, registering the proprietary source files involves running a few commands, and they're different for conda, docker, and singularity.
It would be good to make this process a single command that can take all source files and build it while you make a coffee.
Describe the solution you'd like
Probably the best solution would be to have something like the nextflow install method.
e.g.
I'm unsure if you can pipe the script to stdin of
sh
like that and still provide command line parameters, but it should be possible.The reason that I like this idea, is that potentially it could make the build process look the same for each of the environments.
For docker the command is almost identical, but it would simplify things for conda and singularity.
I'm a bit unsure about this. I think the full version should be documented somewhere, but this might be a good "easy-install" method.
The text was updated successfully, but these errors were encountered: