Metadata-Version: 2.2
Name: TaxSEA_in_python
Version: 0.1.3
Summary: A small package for converting bacterial names into NCBI IDs
Author-email: Cong Pham <phamleminhcong34@gmail.com>
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: pandas>=1.3.0
Requires-Dist: requests>=2.25.0
Requires-Dist: importlib-resources>=5.0.0
Requires-Dist: statsmodels>=0.14.4
Requires-Dist: numpy>=1.21.0

# TaxSEA_in_python project

This package is a version of TaxSEA but build in python. 

## Installation

```bash
pip install TaxSEA_in_python
```

## Usage

```python
# TaxSEA_in_python is the python based tools imported from the tool TaxSEA based in R language.
from TaxSEA_in_python.TaxSEA import TaxSEA

# Locating the test data: 
from importlib.resources import files 
TaxSEA_test_data = str(files('TaxSEA_in_python.data').joinpath('TaxSEA_test_data.csv'))

# TaxSEA main code: 
TaxSEA_test_results = TaxSEA(TaxSEA_test_data) # The output is a dictionary of 3 dataframes
print(TaxSEA_test_results) 

# Calling the 3 dataframes in TaxSEA_test_results: 
Metabolite_producers = TaxSEA_test_results["Metabolite_producers"]

BugSigdB = TaxSEA_test_results["BugSigdB"]

Health_associations = TaxSEA_test_results["Health_associations"]

```
"""
