A set of tools for high-resolution MS metabolomics data analysis
Metabolinks is a Python package that provides a set of tools for high-resolution MS metabolomics data analysis.
Metabolinks aims at providing several tools that streamline most of the metabolomics workflow. These tools were written having ultra-high resolution MS based metabolomics in mind.
Features are a bit scarce right now:
- peak list alignment
- data matrix filtering, conversion and sample similarity measures
- compound taxonomy retrieval
But our road map is clear and we expect to stabilize in a beta version pretty soon.
Stay tuned, and check out the examples folder (examples are provided as jupyter notebooks).
Metabolinks is distributed on PyPI and can be installed with pip on a Python 3.4+ installation:
pip install metabolinks
However, even if Metabolinks is written in Python, it requires some of the powerful scientific packages that are pre-installed on “Scientific/Data Science Python” distributions.
One of these two products is highly recommended:
The formal requirements are:
- Python 3.4 and above (it runs on Python 2.7 too)
- setuptools, pip, six, requests and pytest
- numpy, matplotlib and pandas
The installation of the Jupyter platform is also recommended since the examples are provided as Jupyter notebooks.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size metabolinks-0.51-py2.py3-none-any.whl (117.8 kB)||File type Wheel||Python version py2.py3||Upload date||Hashes View hashes|
|Filename, size metabolinks-0.51.tar.gz (114.1 kB)||File type Source||Python version None||Upload date||Hashes View hashes|
Hashes for metabolinks-0.51-py2.py3-none-any.whl