Big and F.A.I.R. Omics Data. This package provides tools for high throughput metabolomics analysis, both targeted and untargeted, making use of (and facilitating) different types of metabolic models. For a detailed documentation, please check our ReadtheDocs.
For now, in order to install the BFAIR package, clone this repository onto your machine. Once ready, find the path to the base folder of your BFAIR clone and pip install the package like this
>>> pip install /path/to/BFAIR/base/folder
Once released, BFAIR will be pip-installable. In a terminal, write
>>> pip install BFAIR
BFAIR provides a metabolomics analysis toolbox including, but not limited to:
- Tools for analyzing untargeted FIA-MS metabolomics data
- Tools for a general analysis of targeted metabolomics
- A full metabolic flux analysis (MFA) workflow combined with our sister-software SmartPeak
- Input preparation for the MFA workflow, including exometabolomics analysis, COBRA model parsing, MDV parsing and automated atom mapping
Extensive examples can be found in the "example notebooks" section of our documentation. These are Jupyter Notebooks presenting a typical use case for each of the described modules. The notebooks can be found in this location in the repository.
We welcome all contributions. Please follow the guidelines below when contributing code.
- Fork the repository
- Clone the repository
- Make a new branch from
develop
(see git model below) with your feature or fix - Submita pull request
Please use the GitFlow model
Please use the Numpy docstrings format
Please use the following standard for commit messages
fix: ...
for all commits that deal with fixing an issuefeat: ...
for all commits that deal with adding a new featuretests:...
for all commits that deal with unit testingbuild:...
for all commits that deal with the CI infrastructure and deployment
Please use the following PR title and description standards:
- The PR title should be short and descriptive. Work in progress reviews should be titled as
WIP:...
and all other should follow the above for commit messages. - The PR description should describe 1) new features, 2) fixes, and 3) other changes
In order to accept a PR, the following must be satisfied:
- All new functions and classes have corresponding unit tests
- All new functions and classes are documented using the correct style
- All unit tests, linting tests, and integration tests pass
- All new code is reviewed and approved by a repository maintainer