%global _empty_manifest_terminate_build 0
Name: python-biolink-model
Version: 3.4.3
Release: 1
Summary: 'A high level datamodel of biological entities and associations'
License: BSD
URL: https://github.com/biolink/biolink-model
Source0: https://mirrors.aliyun.com/pypi/web/packages/50/0b/742b549ee4d3ece2a72e015ac240fe75dfea55be5e401d1a04b44e04ea19/biolink-model-3.4.3.tar.gz
BuildArch: noarch
Requires: python3-linkml
Requires: python3-curies
Requires: python3-prefixmaps
%description
[](https://img.shields.io/github/license/biolink/biolink-model)
[](https://img.shields.io/github/v/release/biolink/biolink-model?style=flat-square)
[](https://www.python.org/downloads/release/python-370/)
[](https://travis-ci.com/biolink/biolink-model)
[](https://zenodo.org/badge/latestdoi/112995625)
[](https://gitter.im/biolink-model/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
# Biolink Model
Quickstart docs:
For a good overview of the biolink-model, [watch Chris Mungall's talk](https://www.youtube.com/watch?v=RE1hFm8lvJA&t=2s) at ICBO 2020.
- Browse the model: [https://biolink.github.io/biolink-model](https://biolink.github.io/biolink-model)
- [named thing](https://biolink.github.io/biolink-model/docs/NamedThing.html)
- [association](https://biolink.github.io/biolink-model/docs/Association.html)
- [predicate](https://biolink.github.io/biolink-model/docs/predicates.html)
Refer to the following resources for a quick introduction to the Biolink Model:
- [Introduction to the Biolink Datamodel](https://www.slideshare.net/cmungall/introduction-to-the-biolink-datamodel)
- [Biolink Model - A community driven data model for life sciences](https://bit.ly/biolink-model-workshop-biocuration-2020) (Biocuration 2020)
- Slides: https://bit.ly/biolink-model-workshop-biocuration-2020
- Video: https://www.youtube.com/watch?v=RE1hFm8lvJA
See also [Biolink Model Guidelines](guidelines/README.md) for help understanding, curating, and working with the model.
## Introduction
The purpose of the Biolink Model is to provide a high-level datamodel of
biological entities (genes, diseases, phenotypes, pathways, individuals, substances, etc),
their properties, relationships, and enumerate ways in which they can be associated.
The representation is independent of storage technology or metamodel (Solr documents, neo4j/property graphs,
RDF/OWL, JSON, CSVs, etc). Different mappings to each of these are provided.
The specification of the Biolink Model is a [single YAML file](biolink-model.yaml) built using [linkml](https://github.com/linkml).
The basic elements of the YAML are:
- Class Definitions: definitions of upper level *classes* representing both 'named thing' and 'association'
- Slot Definitions: definitions of *slots* (aka properties) that can be used to relate members of these classes to other classes or data types. Slots collectively refer to predicates, node properties, and edge properties
The model itself is being used in the following projects:
- [NCATS Biomedical Data Translator](https://ncats.nih.gov/translator)
- [Monarch Initiative](https://monarchinitiative.org/)
- [KG-COVID-19](https://github.com/Knowledge-Graph-Hub/kg-covid-19/wiki)
- [KG Microbe](https://github.com/Knowledge-Graph-Hub/kg-microbe)
- [Illuminating the Druggable Genome]()
## Organization
The main source of truth is [biolink-model.yaml](biolink-model.yaml). This is a YAML file that is intended to
be relatively simple to view and edit in its native form.
The yaml definition is currently used to derive:
- [JSON Schema](json-schema)
- [Python dataclasses](biolink/model.py)
- [Java code gen](java)
- [ProtoBuf definitions](biolink-model.proto)
- [GraphQL](biolink-model.graphql)
- [RDF](biolink-model.ttl)
- [OWL](biolink-model.owl.ttl)
- [RDF Shape Expressions](biolink-model.shex)
- [JSON-LD context](context.jsonld)
- [Graphviz](graphviz)
- [GOlr YAML schemas](golr-views)
- these can be compiled down to Solr XML schemas
- these are also intermediate targets used within the BBOP/AmiGO framework
- [Markdown documentation](docs)
## Make and build instructions
Prerequisites: Python 3.7+ and pipenv
To install pipenv,
```sh
pip3 install pipenv
```
To install the project,
```sh
make install
```
To regenerate artifacts from the Biolink Model YAML,
```sh
make
```
**Note:** the Makefile requires the following dependencies to be installed:
### jsonschema
[jsonschema](https://json-schema.org/)
Generally install using
```sh
pip3 install jsonschema
```
### jsonschema2pojo
[jsonschema2pojo](https://github.com/joelittlejohn/jsonschema2pojo)
If you are on a Mac, it can be installed using `brew`:
```sh
brew install jsonschema2pojo
```
For other OS environments, download the latest release then extract it into your execution path. eg
```sh
wget https://github.com/joelittlejohn/jsonschema2pojo/releases/download/jsonschema2pojo-1.0.2/jsonschema2pojo-1.0.2.tar.gz
tar -xvzf jsonschema2pojo-1.0.2.tar.gz
export PATH=$PATH:`pwd`/jsonschema2pojo-1.0.2/bin
```
### GraphViz
See [GraphViz site](https://graphviz.org/) for installation in your operating system.
## How do I use Biolink Model YAML programmatically?
For operations such as CURIE lookup, finding class by synonyms, get parents, get ancestors, etc. please make use of [biolink-model-toolkit](https://github.com/biolink/biolink-model-toolkit/). It provides convenience methods for traversing Biolink Model.
## Citing Biolink Model
Unni DR, Moxon SAT, Bada M, Brush M, Bruskiewich R, Caufield JH, Clemons PA, Dancik V, Dumontier M, Fecho K, Glusman G, Hadlock JJ, Harris NL, Joshi A, Putman T, Qin G, Ramsey SA, Shefchek KA, Solbrig H, Soman K, Thessen AE, Haendel MA, Bizon C, Mungall CJ, The Biomedical Data Translator Consortium (2022).
Biolink Model: A universal schema for knowledge graphs in clinical, biomedical, and translational science. Clin Transl Sci. Wiley; 2022 Jun 6; https://onlinelibrary.wiley.com/doi/10.1111/cts.13302
%package -n python3-biolink-model
Summary: 'A high level datamodel of biological entities and associations'
Provides: python-biolink-model
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-biolink-model
[](https://img.shields.io/github/license/biolink/biolink-model)
[](https://img.shields.io/github/v/release/biolink/biolink-model?style=flat-square)
[](https://www.python.org/downloads/release/python-370/)
[](https://travis-ci.com/biolink/biolink-model)
[](https://zenodo.org/badge/latestdoi/112995625)
[](https://gitter.im/biolink-model/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
# Biolink Model
Quickstart docs:
For a good overview of the biolink-model, [watch Chris Mungall's talk](https://www.youtube.com/watch?v=RE1hFm8lvJA&t=2s) at ICBO 2020.
- Browse the model: [https://biolink.github.io/biolink-model](https://biolink.github.io/biolink-model)
- [named thing](https://biolink.github.io/biolink-model/docs/NamedThing.html)
- [association](https://biolink.github.io/biolink-model/docs/Association.html)
- [predicate](https://biolink.github.io/biolink-model/docs/predicates.html)
Refer to the following resources for a quick introduction to the Biolink Model:
- [Introduction to the Biolink Datamodel](https://www.slideshare.net/cmungall/introduction-to-the-biolink-datamodel)
- [Biolink Model - A community driven data model for life sciences](https://bit.ly/biolink-model-workshop-biocuration-2020) (Biocuration 2020)
- Slides: https://bit.ly/biolink-model-workshop-biocuration-2020
- Video: https://www.youtube.com/watch?v=RE1hFm8lvJA
See also [Biolink Model Guidelines](guidelines/README.md) for help understanding, curating, and working with the model.
## Introduction
The purpose of the Biolink Model is to provide a high-level datamodel of
biological entities (genes, diseases, phenotypes, pathways, individuals, substances, etc),
their properties, relationships, and enumerate ways in which they can be associated.
The representation is independent of storage technology or metamodel (Solr documents, neo4j/property graphs,
RDF/OWL, JSON, CSVs, etc). Different mappings to each of these are provided.
The specification of the Biolink Model is a [single YAML file](biolink-model.yaml) built using [linkml](https://github.com/linkml).
The basic elements of the YAML are:
- Class Definitions: definitions of upper level *classes* representing both 'named thing' and 'association'
- Slot Definitions: definitions of *slots* (aka properties) that can be used to relate members of these classes to other classes or data types. Slots collectively refer to predicates, node properties, and edge properties
The model itself is being used in the following projects:
- [NCATS Biomedical Data Translator](https://ncats.nih.gov/translator)
- [Monarch Initiative](https://monarchinitiative.org/)
- [KG-COVID-19](https://github.com/Knowledge-Graph-Hub/kg-covid-19/wiki)
- [KG Microbe](https://github.com/Knowledge-Graph-Hub/kg-microbe)
- [Illuminating the Druggable Genome]()
## Organization
The main source of truth is [biolink-model.yaml](biolink-model.yaml). This is a YAML file that is intended to
be relatively simple to view and edit in its native form.
The yaml definition is currently used to derive:
- [JSON Schema](json-schema)
- [Python dataclasses](biolink/model.py)
- [Java code gen](java)
- [ProtoBuf definitions](biolink-model.proto)
- [GraphQL](biolink-model.graphql)
- [RDF](biolink-model.ttl)
- [OWL](biolink-model.owl.ttl)
- [RDF Shape Expressions](biolink-model.shex)
- [JSON-LD context](context.jsonld)
- [Graphviz](graphviz)
- [GOlr YAML schemas](golr-views)
- these can be compiled down to Solr XML schemas
- these are also intermediate targets used within the BBOP/AmiGO framework
- [Markdown documentation](docs)
## Make and build instructions
Prerequisites: Python 3.7+ and pipenv
To install pipenv,
```sh
pip3 install pipenv
```
To install the project,
```sh
make install
```
To regenerate artifacts from the Biolink Model YAML,
```sh
make
```
**Note:** the Makefile requires the following dependencies to be installed:
### jsonschema
[jsonschema](https://json-schema.org/)
Generally install using
```sh
pip3 install jsonschema
```
### jsonschema2pojo
[jsonschema2pojo](https://github.com/joelittlejohn/jsonschema2pojo)
If you are on a Mac, it can be installed using `brew`:
```sh
brew install jsonschema2pojo
```
For other OS environments, download the latest release then extract it into your execution path. eg
```sh
wget https://github.com/joelittlejohn/jsonschema2pojo/releases/download/jsonschema2pojo-1.0.2/jsonschema2pojo-1.0.2.tar.gz
tar -xvzf jsonschema2pojo-1.0.2.tar.gz
export PATH=$PATH:`pwd`/jsonschema2pojo-1.0.2/bin
```
### GraphViz
See [GraphViz site](https://graphviz.org/) for installation in your operating system.
## How do I use Biolink Model YAML programmatically?
For operations such as CURIE lookup, finding class by synonyms, get parents, get ancestors, etc. please make use of [biolink-model-toolkit](https://github.com/biolink/biolink-model-toolkit/). It provides convenience methods for traversing Biolink Model.
## Citing Biolink Model
Unni DR, Moxon SAT, Bada M, Brush M, Bruskiewich R, Caufield JH, Clemons PA, Dancik V, Dumontier M, Fecho K, Glusman G, Hadlock JJ, Harris NL, Joshi A, Putman T, Qin G, Ramsey SA, Shefchek KA, Solbrig H, Soman K, Thessen AE, Haendel MA, Bizon C, Mungall CJ, The Biomedical Data Translator Consortium (2022).
Biolink Model: A universal schema for knowledge graphs in clinical, biomedical, and translational science. Clin Transl Sci. Wiley; 2022 Jun 6; https://onlinelibrary.wiley.com/doi/10.1111/cts.13302
%package help
Summary: Development documents and examples for biolink-model
Provides: python3-biolink-model-doc
%description help
[](https://img.shields.io/github/license/biolink/biolink-model)
[](https://img.shields.io/github/v/release/biolink/biolink-model?style=flat-square)
[](https://www.python.org/downloads/release/python-370/)
[](https://travis-ci.com/biolink/biolink-model)
[](https://zenodo.org/badge/latestdoi/112995625)
[](https://gitter.im/biolink-model/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
# Biolink Model
Quickstart docs:
For a good overview of the biolink-model, [watch Chris Mungall's talk](https://www.youtube.com/watch?v=RE1hFm8lvJA&t=2s) at ICBO 2020.
- Browse the model: [https://biolink.github.io/biolink-model](https://biolink.github.io/biolink-model)
- [named thing](https://biolink.github.io/biolink-model/docs/NamedThing.html)
- [association](https://biolink.github.io/biolink-model/docs/Association.html)
- [predicate](https://biolink.github.io/biolink-model/docs/predicates.html)
Refer to the following resources for a quick introduction to the Biolink Model:
- [Introduction to the Biolink Datamodel](https://www.slideshare.net/cmungall/introduction-to-the-biolink-datamodel)
- [Biolink Model - A community driven data model for life sciences](https://bit.ly/biolink-model-workshop-biocuration-2020) (Biocuration 2020)
- Slides: https://bit.ly/biolink-model-workshop-biocuration-2020
- Video: https://www.youtube.com/watch?v=RE1hFm8lvJA
See also [Biolink Model Guidelines](guidelines/README.md) for help understanding, curating, and working with the model.
## Introduction
The purpose of the Biolink Model is to provide a high-level datamodel of
biological entities (genes, diseases, phenotypes, pathways, individuals, substances, etc),
their properties, relationships, and enumerate ways in which they can be associated.
The representation is independent of storage technology or metamodel (Solr documents, neo4j/property graphs,
RDF/OWL, JSON, CSVs, etc). Different mappings to each of these are provided.
The specification of the Biolink Model is a [single YAML file](biolink-model.yaml) built using [linkml](https://github.com/linkml).
The basic elements of the YAML are:
- Class Definitions: definitions of upper level *classes* representing both 'named thing' and 'association'
- Slot Definitions: definitions of *slots* (aka properties) that can be used to relate members of these classes to other classes or data types. Slots collectively refer to predicates, node properties, and edge properties
The model itself is being used in the following projects:
- [NCATS Biomedical Data Translator](https://ncats.nih.gov/translator)
- [Monarch Initiative](https://monarchinitiative.org/)
- [KG-COVID-19](https://github.com/Knowledge-Graph-Hub/kg-covid-19/wiki)
- [KG Microbe](https://github.com/Knowledge-Graph-Hub/kg-microbe)
- [Illuminating the Druggable Genome]()
## Organization
The main source of truth is [biolink-model.yaml](biolink-model.yaml). This is a YAML file that is intended to
be relatively simple to view and edit in its native form.
The yaml definition is currently used to derive:
- [JSON Schema](json-schema)
- [Python dataclasses](biolink/model.py)
- [Java code gen](java)
- [ProtoBuf definitions](biolink-model.proto)
- [GraphQL](biolink-model.graphql)
- [RDF](biolink-model.ttl)
- [OWL](biolink-model.owl.ttl)
- [RDF Shape Expressions](biolink-model.shex)
- [JSON-LD context](context.jsonld)
- [Graphviz](graphviz)
- [GOlr YAML schemas](golr-views)
- these can be compiled down to Solr XML schemas
- these are also intermediate targets used within the BBOP/AmiGO framework
- [Markdown documentation](docs)
## Make and build instructions
Prerequisites: Python 3.7+ and pipenv
To install pipenv,
```sh
pip3 install pipenv
```
To install the project,
```sh
make install
```
To regenerate artifacts from the Biolink Model YAML,
```sh
make
```
**Note:** the Makefile requires the following dependencies to be installed:
### jsonschema
[jsonschema](https://json-schema.org/)
Generally install using
```sh
pip3 install jsonschema
```
### jsonschema2pojo
[jsonschema2pojo](https://github.com/joelittlejohn/jsonschema2pojo)
If you are on a Mac, it can be installed using `brew`:
```sh
brew install jsonschema2pojo
```
For other OS environments, download the latest release then extract it into your execution path. eg
```sh
wget https://github.com/joelittlejohn/jsonschema2pojo/releases/download/jsonschema2pojo-1.0.2/jsonschema2pojo-1.0.2.tar.gz
tar -xvzf jsonschema2pojo-1.0.2.tar.gz
export PATH=$PATH:`pwd`/jsonschema2pojo-1.0.2/bin
```
### GraphViz
See [GraphViz site](https://graphviz.org/) for installation in your operating system.
## How do I use Biolink Model YAML programmatically?
For operations such as CURIE lookup, finding class by synonyms, get parents, get ancestors, etc. please make use of [biolink-model-toolkit](https://github.com/biolink/biolink-model-toolkit/). It provides convenience methods for traversing Biolink Model.
## Citing Biolink Model
Unni DR, Moxon SAT, Bada M, Brush M, Bruskiewich R, Caufield JH, Clemons PA, Dancik V, Dumontier M, Fecho K, Glusman G, Hadlock JJ, Harris NL, Joshi A, Putman T, Qin G, Ramsey SA, Shefchek KA, Solbrig H, Soman K, Thessen AE, Haendel MA, Bizon C, Mungall CJ, The Biomedical Data Translator Consortium (2022).
Biolink Model: A universal schema for knowledge graphs in clinical, biomedical, and translational science. Clin Transl Sci. Wiley; 2022 Jun 6; https://onlinelibrary.wiley.com/doi/10.1111/cts.13302
%prep
%autosetup -n biolink-model-3.4.3
%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-biolink-model -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri Jun 09 2023 Python_Bot - 3.4.3-1
- Package Spec generated