semvec/pypi-packages huggingface dataset:
pytmt 0.5.0
pytmt returns ms2 tmt quantification values from Crux Percolator output
Requires Python: >=3.6, <4
Keywords: scientific proteomics mass-spectrometry

# pyTMT v0.5.0

pyTMT returns ms2 tandem mass tag quantification values from Crux/Percolator output.

See the [Documentations](https://lau-lab.github.io/pytmt/) for more information.

## Getting Started


#### Requirements

Install Python 3.7+ and pip. See instructions on Python website for specific instructions for your operating system.

Install pyTMT from PyPI. We recommend using a virtual environment.
		
	$ pip install pytmt


#### Running
	
Launch pyTMT as a Python module (Usage/Help)
	
	$ python -m pytmt -h

Console entry point:

    $ pytmt


### Prerequisites

pyTMT is tested in Python 3.7, and 3.8 and requires the following packages:

```
pandas>=1.0.4
pymzml==2.5.2
tqdm>=4.46.0
scipy>=1.4.1
```


## Contributing
Please contact us if you wish to contribute, and submit pull requests to us.


## Authors
* **Edward Lau, PhD** - *Code/design* - [ed-lau](https://github.com/ed-lau)
* **Maggie Lam, PhD** - *Code/design* - [Maggie-Lam](https://github.com/Maggie-Lam)


## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE.md) file for details