%global _empty_manifest_terminate_build 0 Name: python-KEGGutils Version: 0.4.0 Release: 1 Summary: Simple utils to work with KEGG data on NetworkX License: Unlicense URL: https://github.com/filippocastelli/KEGGutils Source0: https://mirrors.aliyun.com/pypi/web/packages/fa/d9/44c080def3e22242287be0f4a9f97b8ac986eeb6fabf5ea1fbfa70cf50e8/KEGGutils-0.4.0.tar.gz BuildArch: noarch Requires: python3-networkx Requires: python3-matplotlib Requires: python3-awesome-slugify Requires: python3-requests Requires: python3-Pillow Requires: python3-scipy Requires: python3-pytest Requires: python3-pytest-cov Requires: python3-jupyter %description # KEGGutils: Working with **KEGG** in **Python** and **NetworkX** # Drawing **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: 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. *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. KEGGutils is easily expandable and can be immediately integrated anywhere you use *NetworkX* to process data. ## Current build status: *master branch* : [![CircleCI](https://circleci.com/gh/filippocastelli/KEGGutils.svg?style=shield)](https://circleci.com/gh/filippocastelli/KEGGutils) *devel branch* : [![CircleCI](https://circleci.com/gh/filippocastelli/KEGGutils/tree/devel.svg?style=shield)](https://circleci.com/gh/filippocastelli/KEGGutils/tree/dev) ## Installing KEGGutils # PyPi You 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: to install it you just need to run `pip install KEGGutils` and that should be it! ## Dependencies KEGGutils is tested and working against python `3.8`, `3.9`, `3.10` and `3.11`. `3.6` and `3.7` are untested but should work. To make sure KEGGutils works as it should, a few dependencies must be satisfied: - `networkx` - `matplotlib` - `awesome-slugify` - `requests` - `Pillow` - `scipy` note: if you use pip to install KEGGutils, it should automatically get the needed dependencies for you! note: you can create an environment with all the required dependencies using the incldued anaconda environment configurator, you just need to run `conda env create -f keggutils_env.yml` to create a `keggutils_env` anaconda environment with all the required dependencies. ## Getting started In 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. To start just follow the links below: - [**Tutorial 0 - Basics and KEGG API**](https://github.com/filippocastelli/KEGGutils/blob/dev/tutorials/Tutorial%200%20-%20Basics%20and%20KEGG%20API.ipynb) - [**Tutorial 1 - Enzymatic Graphs**](https://github.com/filippocastelli/KEGGutils/blob/dev/tutorials/Tutorial%201%20-%20EnzymeGraphs.ipynb) - [**Tutorial 2 - KEGGgraphs, KGGlinkgraphs and KEGGchains**](https://github.com/filippocastelli/KEGGutils/blob/dev/tutorials/Tutorial%202%20-%20KEGGgraphs%2C%20KGGlinkgraphs%20and%20KEGGchains.ipynb) - [**Tutorial 3 - KEGGpathways**](https://github.com/filippocastelli/KEGGutils/blob/dev/tutorials/Tutorial%203%20-%20KEGGpathways.ipynb) ## Contributing The project is open to contributions and suggestions, just open an issue on the repo or contact me directly (contacts below). ## External links Here are a few useful links - [KEGG: Kyoto Encyclopedia of Genes and Genomes](https://www.kegg.jp/) - [KEGG REST API reference page](https://www.kegg.jp/kegg/rest/keggapi.html) - [KEGG KGML (KEGG Markup Language) reference page](https://www.kegg.jp/kegg/xml/) - [Networkx Github IO](https://networkx.github.io/) ## Contacts **Author:** Filippo Maria Castelli castelli@lens.unifi.it LENS, European Laboratory for Non-linear Spectroscopy Via Nello Carrara 1 50019 Sesto Fiorentino (FI), Italy %package -n python3-KEGGutils Summary: Simple utils to work with KEGG data on NetworkX Provides: python-KEGGutils BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-KEGGutils # KEGGutils: Working with **KEGG** in **Python** and **NetworkX** # Drawing **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: 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. *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. KEGGutils is easily expandable and can be immediately integrated anywhere you use *NetworkX* to process data. ## Current build status: *master branch* : [![CircleCI](https://circleci.com/gh/filippocastelli/KEGGutils.svg?style=shield)](https://circleci.com/gh/filippocastelli/KEGGutils) *devel branch* : [![CircleCI](https://circleci.com/gh/filippocastelli/KEGGutils/tree/devel.svg?style=shield)](https://circleci.com/gh/filippocastelli/KEGGutils/tree/dev) ## Installing KEGGutils # PyPi You 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: to install it you just need to run `pip install KEGGutils` and that should be it! ## Dependencies KEGGutils is tested and working against python `3.8`, `3.9`, `3.10` and `3.11`. `3.6` and `3.7` are untested but should work. To make sure KEGGutils works as it should, a few dependencies must be satisfied: - `networkx` - `matplotlib` - `awesome-slugify` - `requests` - `Pillow` - `scipy` note: if you use pip to install KEGGutils, it should automatically get the needed dependencies for you! note: you can create an environment with all the required dependencies using the incldued anaconda environment configurator, you just need to run `conda env create -f keggutils_env.yml` to create a `keggutils_env` anaconda environment with all the required dependencies. ## Getting started In 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. To start just follow the links below: - [**Tutorial 0 - Basics and KEGG API**](https://github.com/filippocastelli/KEGGutils/blob/dev/tutorials/Tutorial%200%20-%20Basics%20and%20KEGG%20API.ipynb) - [**Tutorial 1 - Enzymatic Graphs**](https://github.com/filippocastelli/KEGGutils/blob/dev/tutorials/Tutorial%201%20-%20EnzymeGraphs.ipynb) - [**Tutorial 2 - KEGGgraphs, KGGlinkgraphs and KEGGchains**](https://github.com/filippocastelli/KEGGutils/blob/dev/tutorials/Tutorial%202%20-%20KEGGgraphs%2C%20KGGlinkgraphs%20and%20KEGGchains.ipynb) - [**Tutorial 3 - KEGGpathways**](https://github.com/filippocastelli/KEGGutils/blob/dev/tutorials/Tutorial%203%20-%20KEGGpathways.ipynb) ## Contributing The project is open to contributions and suggestions, just open an issue on the repo or contact me directly (contacts below). ## External links Here are a few useful links - [KEGG: Kyoto Encyclopedia of Genes and Genomes](https://www.kegg.jp/) - [KEGG REST API reference page](https://www.kegg.jp/kegg/rest/keggapi.html) - [KEGG KGML (KEGG Markup Language) reference page](https://www.kegg.jp/kegg/xml/) - [Networkx Github IO](https://networkx.github.io/) ## Contacts **Author:** Filippo Maria Castelli castelli@lens.unifi.it LENS, European Laboratory for Non-linear Spectroscopy Via Nello Carrara 1 50019 Sesto Fiorentino (FI), Italy %package help Summary: Development documents and examples for KEGGutils Provides: python3-KEGGutils-doc %description help # KEGGutils: Working with **KEGG** in **Python** and **NetworkX** # Drawing **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: 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. *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. KEGGutils is easily expandable and can be immediately integrated anywhere you use *NetworkX* to process data. ## Current build status: *master branch* : [![CircleCI](https://circleci.com/gh/filippocastelli/KEGGutils.svg?style=shield)](https://circleci.com/gh/filippocastelli/KEGGutils) *devel branch* : [![CircleCI](https://circleci.com/gh/filippocastelli/KEGGutils/tree/devel.svg?style=shield)](https://circleci.com/gh/filippocastelli/KEGGutils/tree/dev) ## Installing KEGGutils # PyPi You 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: to install it you just need to run `pip install KEGGutils` and that should be it! ## Dependencies KEGGutils is tested and working against python `3.8`, `3.9`, `3.10` and `3.11`. `3.6` and `3.7` are untested but should work. To make sure KEGGutils works as it should, a few dependencies must be satisfied: - `networkx` - `matplotlib` - `awesome-slugify` - `requests` - `Pillow` - `scipy` note: if you use pip to install KEGGutils, it should automatically get the needed dependencies for you! note: you can create an environment with all the required dependencies using the incldued anaconda environment configurator, you just need to run `conda env create -f keggutils_env.yml` to create a `keggutils_env` anaconda environment with all the required dependencies. ## Getting started In 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. To start just follow the links below: - [**Tutorial 0 - Basics and KEGG API**](https://github.com/filippocastelli/KEGGutils/blob/dev/tutorials/Tutorial%200%20-%20Basics%20and%20KEGG%20API.ipynb) - [**Tutorial 1 - Enzymatic Graphs**](https://github.com/filippocastelli/KEGGutils/blob/dev/tutorials/Tutorial%201%20-%20EnzymeGraphs.ipynb) - [**Tutorial 2 - KEGGgraphs, KGGlinkgraphs and KEGGchains**](https://github.com/filippocastelli/KEGGutils/blob/dev/tutorials/Tutorial%202%20-%20KEGGgraphs%2C%20KGGlinkgraphs%20and%20KEGGchains.ipynb) - [**Tutorial 3 - KEGGpathways**](https://github.com/filippocastelli/KEGGutils/blob/dev/tutorials/Tutorial%203%20-%20KEGGpathways.ipynb) ## Contributing The project is open to contributions and suggestions, just open an issue on the repo or contact me directly (contacts below). ## External links Here are a few useful links - [KEGG: Kyoto Encyclopedia of Genes and Genomes](https://www.kegg.jp/) - [KEGG REST API reference page](https://www.kegg.jp/kegg/rest/keggapi.html) - [KEGG KGML (KEGG Markup Language) reference page](https://www.kegg.jp/kegg/xml/) - [Networkx Github IO](https://networkx.github.io/) ## Contacts **Author:** Filippo Maria Castelli castelli@lens.unifi.it LENS, European Laboratory for Non-linear Spectroscopy Via Nello Carrara 1 50019 Sesto Fiorentino (FI), Italy %prep %autosetup -n KEGGutils-0.4.0 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-KEGGutils -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue Jun 20 2023 Python_Bot - 0.4.0-1 - Package Spec generated