LiPydomics 1.6.8

a library for streamlining lipidomics data analysis.

LiPydomics (version 1.6.8)

Dylan H. Ross and Jang Ho Cho

Overview

lipydomics is a Python package for performing standard lipidomics analysis protocols on data in an efficient and reproducible fashion. The primary modules in the package are data, stats, plotting, identification and interactive. The data module is responsible for storing lipidomics datasets, along with their associated metadata and computed statistics. The stats module contains functions for computing statistics on a lipydomics Dataset instance and the plotting module has functions for generating various plots using computed statistics or the data itself. The identification module has functions for identifying lipid features using different levels of information. The interactive module provides a more user-friendly text-based interface for performing lipidomics data analysis for those who are not as familiar/comfortable with the more flexible Python API.

API

Documentation for the lipydomics API, organized by module, is available separately in api.md. An example of a complete scripted analysis is included in example_standard_analysis.py. An additional example analysis (executed in a Jupyter notebook) is available here.

Interactive

Documentation for the lipydomics.interactive module is available separately in interactive.md. A complete example demonstrating use of the interactive module (executed in a Jupyter notebook) is also available here.

Support

If you have any questions or suggestions, or notice any bugs please feel free to contact [e-mail] or file an issue.

License

This software is made available under the MIT license. We ask that if you use this package in published work, please cite our paper.