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"description": "# KEGGutils:\nWorking with **KEGG** in **Python** and **NetworkX**\n# ![\"Drawing\"](\"/img/logo_cut.png\")
\n\n\n\n**KEGGutils** is a toolkit designed for working with the *Kyoto Encyclopedia of Genes and Genome* database in *Python* with a quick and easy to use interface: and in a single line you can download data from KEGG's REST API, organize in a graph-like format provided by *NetworkX* and immediately start exploring.\n\n*KEGGutils* is much more than just an API interface: other than a series of tools to better interface yourself with the service, it provides expanded *NetworkX* classes and methods ( totally nx-compatible ) to handle different types of data and help you better exploit underlying structures. \nKEGGutils is easily expandable and can be immediately integrated anywhere you use *NetworkX* to process data.\n\n## Current build status:\n\n*master branch* : [](https://circleci.com/gh/filippocastelli/KEGGutils)\n\n*dev branch* : [](https://circleci.com/gh/filippocastelli/KEGGutils/tree/dev)\n\n## Installing KEGGutils\n# ![PyPi](\"https://pypi.org/static/images/logo-large.72ad8bf1.svg\")
\n\nYou can just clone this repo and use it's content as any other python package, but if you just need a super easy drop-in solution *KEGGutils* is available as a *PyPi* package:\n\nto install it you just need to run\n\n`pip install KEGGutils`\n\n and that should be it!\n\n## Dependencies\nTo make sure KEGGutils works as it should, a few dependencies must be satisfied:\n- networkx\n- matplotlib\n- awesome-slugify\n- requests\n- Pillow\n- scipy\n\nnote: if you use pip to install KEGGutils, it should automatically get the needed dependencies for you!\n\n## Getting started\n\nIn this repo can find four dense yet easy to follow tutorials covering most of *KEGGutils*'s functionalities and more are coming in the next future.\nTo start just follow the links below: \n- [**Tutorial 0 - Basics and KEGG API**](https://github.com/filippocastelli/KEGGutils/blob/dev/tutorials/Tutorial%200%20-%20Basics%20and%20KEGG%20API.ipynb)\n- [**Tutorial 1 - Enzymatic Graphs**](https://github.com/filippocastelli/KEGGutils/blob/dev/tutorials/Tutorial%201%20-%20EnzymeGraphs.ipynb)\n- [**Tutorial 2 - KEGGgraphs, KGGlinkgraphs and KEGGchains**](https://github.com/filippocastelli/KEGGutils/blob/dev/tutorials/Tutorial%202%20-%20KEGGgraphs%2C%20KGGlinkgraphs%20and%20KEGGchains.ipynb)\n- [**Tutorial 3 - KEGGpathways**](https://github.com/filippocastelli/KEGGutils/blob/dev/tutorials/Tutorial%203%20-%20KEGGpathways.ipynb)\n\n\n## Contributing\n\nThe project is open to contributions and suggestions: the easiest way is just opening an issue on the repo, if that's too much work just drop me a mail at filippocastelli42@gmail.com\n\n## External links\n\nHere are a few useful links\n- [KEGG: Kyoto Encyclopedia of Genes and Genomes](https://www.kegg.jp/)\n- [KEGG REST API reference page](https://www.kegg.jp/kegg/rest/keggapi.html)\n- [KEGG KGML (KEGG Markup Language) reference page](https://www.kegg.jp/kegg/xml/)\n- [Networkx Github IO](https://networkx.github.io/)\n\n\n\n",
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