Pickling lots of BEL scripts

All of the BEL scripts in the current working directory (and sub-directories) can be pickled in-place with the following command (add -d to specify a different directory)

$ python3 -m pybel_tools io convert -d ~/bms/aetionomy/

Getting Data in to the Cache

Before running the service, some data can be pre-loaded in your cache.

Loading Selventa Corpra

The Selventa Small Corpus and Large Corpus are two example BEL documents distributed by the OpenBEL framework. They are good examples of many types of BEL statements and can be used immediately to begin exploring. Add -v for more logging information during compilation. This is highly suggested for the first run, since it takes a while to cache all of the namespaces and annotations. This only has to be done once, and will be much faster the second time!

Small Corpus

$ python3 -m pybel_tools ensure small_corpus -v

Large Corpus

$ python3 -m pybel_tools ensure large_corpus -v

Loading Other Resources

Gene Families

$ python3 -m pybel_tools ensure gene_families -v

Named Protein Complexes

$ python3 -m pybel_tools ensure named_complexes -v

Orthology Relations

Coming soon!

Uploading Precompiled BEL

A single network stored as a PyBEL gpickle can quickly be uploaded using the following code:

$ python3 -m pybel_tools io upload -p /path/to/my_network.gpickle

Uploading Multiple Networks

Multiple networks in a given directory and sub-directories can be uploaded by adding the -r tag.

$ python3 -m pybel_tools io upload -p ~/bms/aetionomy/ -r