There's an import mechanism in libraries that'll allow you to simply link to the file on disk without copy/upload. I believe the "example_watch_folder.py" sample script (in the distribution) does just this via the API, if you want an example.
Hello, we’ve set up a local Galaxy instance in our genotyping and next-gen sequencing lab with local Apache LDAP (AD) integration, NFS mounts to a large NAS, and cluster integration coming. Do to the high volume of samples and staff that will be using the system, I want to set up data libraries (without copying to Galaxy). This is obviously no problem the first time, however I was wondering if there was a way to make a library, added from a system path, be dynamic so that it would stay synchronized with the underlying file structure?
If a try dynamic library is not possible, is there a method for adding files to an existing library via that same system path that would not duplicate all of the original files in the data library?
I did some scouring of the list and found some old unanswered questions and some things tangentially related topics, but I was unable to find a true answer or solution to my problem. Any information on how to do the tasks above or other solutions to provide the same functionality would be greatly appreciated.
Thanks,
Nathan
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