Metadata-Version: 2.1
Name: attribute_standardizer
Version: 0.1.1
Summary: BEDMess attribute standardizer for metadata attribute standardization
Home-page: https://github.com/databio/bedmess/
Author: Saanika Tambe
License: BSD2
Keywords: project,metadata,bioinformatics
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: torch
Requires-Dist: transformers
Requires-Dist: pephubclient

# bedmess

bedmess is a tool used to standardize genomics/epigenomics metadata based on a schema chosen by the user ( eg. ENCODE, FAIRTRACKS).


Presently, bedmess only provides standardization according to the ENCODE schema.


You can install the `attribute_standardizer` by:

```
pip install attribute-standardizer

```

## Usage

Using Python, this is how you can run `attribute_standardizer` :


```
from attribute_standardizer.attribute_standardizer import attr_standardizer

attr_standardizer(pep=/path/to/pep, schema="ENCODE")
```

You can use the format provided in the `trial.py` script in this repository as a reference. 
