Metadata-Version: 2.1
Name: riana
Version: 0.7.0
Summary: riana integrates the relative abundance of isotopomers in mass spectra
Home-page: https://github.com/Molecular-Proteomics/riana
Author: Edward Lau
Author-email: edward.lau@cuanschutz.edu
License: UNKNOWN
Project-URL: Source, https://github.com/Molecular-Proteomics/riana
Project-URL: Edward Lau Lab, https://www.laulab.net
Description: # Riana.py - Relative Isotope Abundance Analyzer
        
        Riana (Relative Isotope Abundance Analyzer) takes in standard mass spectrometry spectra and spectral ID files,
        and returns mass isotopomer distributions, e.g., for protein turnover analysis.
        
        Visit https://ed-lau.github.io/riana/ for Documentations and Usage.
        
        ## Installing RIANA
        
        Install Python 3.7+ and pip. See instructions on Python website for specific instructions for your operating system.
        
        Riana can be installed from PyPI via pip or directly from GitHub. We recommend using a virtual environment.
        
            $ pip install riana
        
        Launch riana as a module (Usage/Help):
        	
        	$ python -m riana
        
        See the [documentations](https://ed-lau.github.io/riana/) for instructions to process a test data file.
        
        ### Dependencies
        
        Riana.py is tested in Python 3.7, 3.8, 3.9 and uses the following packages:
        
        ```
        matplotlib==3.4.1
        pandas==1.2.4
        pymzml==2.4.7
        tqdm==4.60.0
        scikit-learn==0.24.2
        ```
        
        
        ## 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)
        
        See also the list of [contributors](https://github.com/Molecular-Proteomics/riana/graphs/contributors) who participated in this project.
        
        
        ## License
        
        This project is licensed under the MIT License - see the [LICENSE.md](https://github.com/ed-lau/riana/blob/master/LICENSE.md) file for details
        
        
        
Keywords: scientific turnover kinetics proteomics mass-spectrometry
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3.6, <4
Description-Content-Type: text/markdown
