apybiomart
Async pythonic interface to BioMart.
Free software: MIT license
Documentation: https://apybiomart.readthedocs.io
GitHub repo: https://github.com/robertopreste/apybiomart
Features
apybiomart is a Python module which provides a simple asynchronous interface to Ensembl BioMart. Users can exploit the async interface to schedule multiple queries using all the commodities offered by Python’s asyncio library.
Depending on specific needs, apybiomart offers different entry points:
an asynchronous aquery() function, to schedule multiple queries in the same event loop;
a synchronous query() function, which can be used for exploratory queries, executed in real time;
a set of synchronous find_*() functions, which can be used to retrieve the list of available marts (find_marts()), datasets for a specific mart (find_datasets()), attributes (find_attributes()) and filters (find_filters()) for a specific dataset.
a set of related CLI commands also exists to allow exploration of these data from the command line; these are, respectively, apybiomart marts, apybiomart datasets, apybiomart attributes and apybiomart filters. Run apybiomart --help for further details.
Please refer to the Usage section of the documentation for further information.
Background
apybiomart was originally born as a fork of the great pybiomart package.
I was working on a project that employed a series of async calls to several online resources, but I couldn’t manage to perform asynchronous calls to BioMart using that package, so I decided to modify it to better suit my needs. However, it gradually evolved into a very different thing: the original implementation was rewritten and the structure of the package changed a bit, in a way that I found most useful for my purpose.
This said, all the credits go to jrderuiter, which created the original pybiomart package.
Installation
apybiomart only supports Python 3, and can be installed using pip:
pip install apybiomart
Please refer to the Installation section of the documentation for further information.
Credits
This package was created with Cookiecutter and the cc-pypackage project template.
History
0.1.0 (2019-03-26)
First development release.
0.1.1 (2019-03-27)
Requests are converted to async calls;
Code style is clean and Python 3 compatible.
0.1.2 (2019-03-27)
Add basic tests.
0.2.0 (2019-03-31)
New version with different organisation of classes and functions;
Sync query and async aquery functions to query Biomart;
Sync list_* functions to retrieve available marts, datasets, filters and attributes.
0.2.1 (2019-04-01)
Add tests.
0.2.2 (2019-04-01)
Basic functions working and tested;
Fix documentation;
Update requirements.
0.2.3 (2019-04-02)
Update requirements;
Fix type hints for query functions;
Reorganise query classes into a single class;
Update documentation.
0.2.4 (2019-04-04)
Fix type hints;
Fix docstrings in classes;
Add docstrings to main entry points.
0.2.5 (2019-04-09)
Fix test files with new BioMart versions;
Add script to create test files automatically.
0.2.6 (2019-04-29)
Update test files;
Fix and update documentation.
0.3.0 (2019-05-05)
Change list_* functions names to find_* for better compliance;
Update documentation.
0.3.1 (2019-05-11)
Fix requirements handling;
Add function to check internet connection.
0.3.2 (2019-05-29)
Correct minor typos;
Update documentation and testfiles.
0.3.3 (2019-07-29)
Fix #37 - issue with the requests module not installed.
0.3.4 (2019-08-23)
Better handling of filters arguments for query() and aquery() functions;
Convert docstrings to Google style;
Fix documentation.
0.3.5 (2019-08-25)
Relax requirement versions.
0.4.0 (2020-01-26)
Add CLI commands for finding marts, datasets, attributes and filters;
Change output dataframe column names.
0.5.0 (2020-03-22)
Add CLI and Python module options to save outputs to CSV file.
0.5.1 (2020-04-04)
Add option to specify the output CSV filename.
0.5.2 (2020-06-06)
Update tests and test files;
Clean code;
Add CI module.
0.5.3 (2020-11-30)
Remove deprecated pd.np occurrencies;
Update test files.
1 maintainer
Metadata
1 maintainer
Release files for apybiomart 0.5.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| apybiomart-0.5.3.tar.gz | 18.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| apybiomart-0.5.3-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 28.5 kB
Release files / apybiomart-0.5.3.tar.gz
| Download URL | apybiomart-0.5.3.tar.gz |
|---|---|
| Size | 18.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0fe723c166c52245b0b5a35d9ff977090049719b74834f365a82fc0c96736988
|
|
BLAKE2b-256 checksum How to use checksums |
8f1bf99ef5b60f849b6b4496947fcbda34206f2930ecd13157723467a61d5113
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3
|
Release files / apybiomart-0.5.3-py2.py3-none-any.whl
| Download URL | apybiomart-0.5.3-py2.py3-none-any.whl |
|---|---|
| Size | 10.0 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
7681e86bca6217c4987ae30ad25b3d1926e75d6d91b3a8f49e2859d990cab53c
|
|
BLAKE2b-256 checksum How to use checksums |
56684b4450b43a779083f3443149d8f981f1a399a5c04cd435a1ab13f4fa80f0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.3
|
Security for apybiomart 0.5.3
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
