Metadata-Version: 2.1
Name: tbtamr
Version: 1.0.2
Summary: Running TB-Profiler for MDU
Home-page: https://github.com/MDU-PHL/tbtamr
Author: Kristy Horan
Author-email: kristyhoran15@gmail.com
Maintainer: Kristy Horan
Maintainer-email: kristyhoran15@gmail.com
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Python: >=3.10, <4
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas
Requires-Dist: pytest
Requires-Dist: tabulate
Requires-Dist: unidecode
Requires-Dist: pysam
Requires-Dist: requests
Requires-Dist: joblib
Requires-Dist: pydantic
Requires-Dist: tqdm

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# tbtAMR  <img src="https://github.com/MDU-PHL/tbtamr/blob/master/tbtamr_logo_transparent.png" width="100" height="70">

`tbtAMR` implements TB-profiler and custom logic developed at MDU to identify mutations linked to AMR mechanisms in _M. tuberculosis_ and generate reports suitable for public health in Victoria. It may also be suitable for use in research settings.

**`tbtAMR` is now accredited to ISO15189 standard by NATA for use in Victoria Australia.** 


## tbtAMR installation

In order to install `tbtAMR` conda is strongly recommended - installation instructions can be found [here](https://docs.conda.io/projects/conda/en/latest/user-guide/install/index.html). 

```
conda create -n tbtamr tbtamr
```


## Usage

See our [wiki](https://github.com/MDU-PHL/tbtamr/wiki) page for further information on `tbtamr` usage.
