pymzqc 1.0.0rc3

Python library for the PSI-mzQC quality control file format.

MZQC python library

A python library to create and use mzQC files. Specifically, the library facilitates access to mzQC files in form of a directly usable object representation of mzQC and offers additional functionality to:

• serialise
• deserialise
• check syntax
• check semantics
• file-info
• experimental file-merging

The library follows the formats versioning (which is 'v(Major).(Minor).(Patch)').

This library implements python modules for (de-)serialisation and validity checks of the PSI fileformat mzQC. Find the specification document, examples, and and further documentation there.

Install

Latest Release

Most people will want to install the latest release version of pymzqc. Please install pymzqc via pypi:

pip install pymzqc

From Git

If you want a development version, use for example :

pip install -U git+https://github.com/MS-Quality-hub/pymzqc.git#v1.0.0rc3

You can select a development branch of your choice by changing the command after the .git#

Containers

However, we recommend using the ready-built containers to check out the latest updates.

Online docs

To get a nice and simple overview of how pymzqc works, visit here. If you've successfully installed the library and want to jump right in and work on the library, we suggest a peek at the codestructure.

If you however just want to get your toes wet, or use it as-is, have a look at the interactive guides (below).

Interactive pymzqc

Have a go with our interactive python notebooks to explore what is possible.

Development

Contributions are welcome! (Just fork, develop, and open PR.)

Repository structure

The python package's code is located in the mzqc folder, continuous testing code in tests, the documentation in doc. The libray-use container descriptions are in containers, if you want a container for library-development, you can use the container description within .devcontainer, more development presets can be found in .vscode. The jupyter and accessories folders are subprojects making use of the library. See their README in the respective sub-folders.

Documentation

The code documentation style convention is of the type Sphinx/numpy.