Metadata-Version: 2.1
Name: kendrick
Version: 0.0.3
Summary: Towards automating Kendrick mass plots
Home-page: https://github.com/fligt/kendrick
Author: Frank Ligterink
Author-email: frank.ligterink@gmail.com
License: MIT License
Keywords: hrms nbdev jupyter notebook python
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pyopenms
Requires-Dist: datashader
Requires-Dist: dask
Requires-Dist: dask-expr
Requires-Dist: scipy
Requires-Dist: pandas
Requires-Dist: jupyter
Requires-Dist: molmass
Requires-Dist: mendeleev
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: ipyleaflet
Requires-Dist: plotly
Requires-Dist: pyRawTools
Requires-Dist: polars
Provides-Extra: dev

# Welcome to kendrick


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Our lab, the Rijkserfgoedlaboratorium in Amsterdam, currently
experiments with direct ionization coupled with high resolution mass
spectrometry using Thermo ASAP probe and Orbitrap HRMS. This chemical
analysis technique seems well suited to analyze complex polymeric
samples. Visualization of the resulting data in so-called Kendrick mass
plots provides a means to efficiently explore this type of data.

Creating these plots with Excel is tedious and prone to error. Objective
of the *kendrick* Python package is to enable the automatic creation of
Kendrick mass plots from raw data. This open source package is developed
out in the open and will be made available for installation as soon as
possible.

If you are curious and can’t wait for a pip installable package, take a
look at our [documentation](https://fligt.github.io/kendrick/) and
[notebooks](https://github.com/fligt/kendrick/tree/master/notebooks).

Last updated: 2024-10-05
