MINT (Metabolomics Integrator)


The Metabolomics Integrator (MINT)) is a post-processing tool for liquid chromatography-mass spectrometry (LCMS) based metabolomics. Metabolomics is the study of all metabolites (small chemical compounds) in a biological sample e.g. from bacteria or a human blood sample. The metabolites can be used to define biomarkers used in medicine to find treatments for diseases or for the development of diagnostic tests or for the identification of pathogens such as methicillin resistant Staphylococcus aureus (MRSA). More information on how to install and run the program can be found in the Documentation.

Python API for metabolomics

from ms_mint.notebook import Mint
mint.ms_files = glob('/path/to/files/*mzML')
mint.peaklist_files = '/path/to/peaklist/file/peaklist.csv'
mint.run()
mint.results
Mint Jupyter Results

More information in the documentation.

Errors, Feedback, Feature Requests

If you encounter an error, if you have a request for a new feature, or for general feedback, please open a new ticket at the issue tracker.

Contributions are welcome

If you want to contribute to MINT please send me a notification.

In general I will ask you to followowing steps:

  1. fork the repository
  2. implement the new feature or bug-fix
  3. add corresponding tests
  4. run flake8
  5. submit a pull request

Code standards

Before submitting a pull request please run flake8.

GitHub - sorenwacker/ms-mint: Interactive application for large-scale metabolomics (MS1).
Interactive application for large-scale metabolomics (MS1). - GitHub - sorenwacker/ms-mint: Interactive application for large-scale metabolomics (MS1).