Curated and predicted mappings between biomedical identifiers in different namespaces
Biomappings is a repository of community curated and predicted equivalences and related mappings between named biological entities that are not available from primary sources. It's also a place where anyone can contribute curations of predicted mappings or their own novel mappings. Ultimately, we hope that primary resources will integrate these mappings and distribute them themselves.
Mappings are stored in a simple TSV file that looks like this:
The data are available through the following four files on the biopragmatics/biomappings GitHub repository.
|Yes||Human-curated true mappings||
|Yes||Human-curated non-trivial false (i.e., incorrect) mappings||
|Yes||Mappings that have been checked but not yet decided||
|No||Automatically predicted mappings||
The primary and derived data in this repository are both available under the CC0 1.0 Universal License.
Predictions are generated by scripts in the
scripts/ folder. Each
uses the utilities from the
biomappings.resources module to programmatically
interact with the mappings files, e.g., to add predictions.
The mappings are distributed in the Simple Standard for Sharing Ontology Mappings (SSSOM) format (here). The positive mappings are also available as a network through NDEx.
Equivalences and related mappings that are available from the OBO Foundry and other primary sources can be accessed through Inspector Javert's Xref Database on Zenodo which was described in this blog post.
Summary statistics of the manually curated mappings and predicted mappings are automatically generated nightly and deployed as a website with GitHub Actions to https://biopragmatics.github.io/biomappings.
We welcome contributions in the form of curations to any of the four primary TSV files in this repository via a pull request to the main Biomappings repository at https://github.com/biopragmatics/biomappings.
Predicted mappings can be curated by moving a row in the
into either the positive mappings file (
mappings.tsv), negative mappings file
incorrect.tsv), or the unsure mappings file (
confidence column should be removed, a
type column should be added with
manually_reviewed, and the
source column should be changed from
the prediction script's URI to your ORCiD identifier written as a CURIE
Novel mappings can be curated by adding a full row to the positive mappings
mappings.tsv) following the format of the previous lines.
While Biomappings is generally able to use any predicate written as a compact URI (CURIE), it's preferred to use predicates from the Simple Knowledge Organization System (SKOS) to denote hierarchical relationships. The three most common predicates that are useful for curating mappings are:
||The two terms can be used interchangeably|
||The object term is a super-class of the subject|
||The object term is a sub-class of the subject|
Online via GitHub Web Interface
GitHub has an interface for editing files directly in the browser. It will take care of creating a branch for you and creating a pull request. After logging into GitHub, click one of the following links to be brought to the editing interface:
This has the caveat that you can only edit one file at a time. It's possible to navigate to your own forked version of the repository after, to the correct branch (will not be the default one), then edit other files in the web interface as well. However, if you would like to do this, then it's probably better to see the following instructions on contributing locally.
✍️ Local via a Text Editor
- Fork the repository at https://github.com/biopragmatics/biomappings, clone locally, and make a new branch (see below)
- Edit one or more of the resource files (
- Commit to your branch, push, and create a pull request back to the upstream repository.
🌐 Local via the Web Curation Interface
Rather than editing files locally, this repository also comes with a web-based curation interface. Install the code in
development mode with the
web option (which installs
$ git clone git+https://github.com/biopragmatics/biomappings.git $ cd biomappings $ pip install -e .[web]
The web application can be run with:
$ biomappings web
It can be accessed by navigating to http://localhost:5000/ in your browser.
After you do some curations, the web application takes care of interacting with
the git repository from which you installed
biomappings via the "commit and
Note if you've installed
biomappings via PyPI,
then running the web curation interface doesn't make much sense,
since it's non-trivial for most users to find the location of the resources within your Python installation's
site-packages folder, and you won't be able to contribute them back.
There are three places where curators of Biomappings are credited:
- ORCiD identifiers of curators are stored in each mapping
- The summary website groups and counts contributions curator
- A curation leaderboard is automatically uploaded to APICURON.
The most recent release can be installed from PyPI with:
$ pip install biomappings
The most recent code and data can be installed directly from GitHub with:
$ pip install git+https://github.com/biopragmatics/biomappings.git
To install in development mode, use the following:
$ git clone git+https://github.com/biopragmatics/biomappings.git $ cd biomappings $ pip install -e .
There are three main functions exposed from
biomappings. Each loads a list of dictionaries with the mappings in each.
import biomappings true_mappings = biomappings.load_mappings() false_mappings = biomappings.load_false_mappings() predictions = biomappings.load_predictions()
Alternatively, you can use the above links to the TSVs on GitHub in with the library or programming language of your choice.
The data can also be loaded as networkx graphs with the following functions:
import biomappings true_graph = biomappings.get_true_graph() false_graph = biomappings.get_false_graph() predictions_graph = biomappings.get_predictions_graph()
Code is licensed under the MIT License. Data are licensed under the CC0 License.
The development of the Bioregistry is funded by the DARPA Young Faculty Award W911NF2010255 (PI: Benjamin M. Gyori).
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