kegg-pull 3.1.0

Pulls any and all entries from any and all KEGG databases, pulls KEGG entry IDs, and wraps all the KEGG REST API operations in both Python API and the command line.

Description

The kegg_pull package provides a number of useful CLI and API features for interacting with the KEGG REST API. This includes wrapper methods/commands for all the REST API operations, pulling lists of KEGG entry IDs, and pulling an arbitrary number of KEGG entries, in a single call, that are automatically separated and saved in individual files.

Documentation

The complete documentation for our API and CLI including tutorials can be found here.

Installation

Requires python 3.10 and above.

Install on Linux, Mac OS X

python3 -m pip install kegg-pull

Install on Windows

py -3 -m pip install kegg-pull

Note: Many KEGG entry IDs contain colons and kegg_pull saves KEGG entry files with their ID in the file name. When running on Windows, all file names with colons will have their colons replaced with underscores.

Note: If py is not installed on Windows (e.g. Python was installed via the Windows store rather than from the official Python website), the installation command is the same as Linux and Mac OS X.

Note: If the kegg_pull console script is not found on Windows, the CLI can be used via python3 -m kegg_pull or py -3 -m kegg_pull or path\to\console\script\kegg_pull.exe. Alternatively, the directory where the console script is located can be added to the Path environment variable. For example, the console script may be installed at:

c:\users\<username>\appdata\local\programs\python\python310\Scripts\

PyPi

See our PyPi page here.

Questions, Feature Requests, and Bug Reports

Please submit any questions or feature requests you may have and report any potential bugs/errors you observe on our GitHub issues page.

Dependencies

Note, the pip command will install dependencies automatically.

docopt
requests
tqdm
jsonschema

Get the source code

Code is available on GitHub: https://github.com/MoseleyBioinformaticsLab/kegg_pull.

You can clone the repository via:

git clone https://github.com/MoseleyBioinformaticsLab/kegg_pull.git

Once you have a copy of the source, you can embed it in your own Python package, or install it into your system site-packages easily:

Linux, Mac OS X

python3 setup.py install

Windows

py -3 setup.py install