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# matchmsextras

Additional functionalities to be used with [matchms](https://github.com/matchms/matchms).

Usually this is stuff which either in scope and/or in code quality and/or in degree of unit testing does not match the criteria we have for matchms. For producing the results shown in our [Spec2Vec article, PLoS Computational Biology, 2021](https://doi.org/10.1371/journal.pcbi.1008724) we used code from matchmsextras 0.1.0. To fully reproduce those results you can install this via pip install matchmsextras==0.1.0. For all other purposes we recommend using the latest release.

## Installation

` pip install matchmsextras `

## Citing us If you use matchmsextras for your research, please cite the following references:

Huber F, Ridder L, Verhoeven S, Spaaks JH, Diblen F, Rogers S, van der Hooft JJJ, (2021) “Spec2Vec: Improved mass spectral similarity scoring through learning of structural relationships”. PLoS Comput Biol 17(2): e1008724. https://doi.org/10.1371/journal.pcbi.1008724

  1. Huber, S. Verhoeven, C. Meijer, H. Spreeuw, E. M. Villanueva Castilla, C. Geng, J.J.J. van der Hooft, S. Rogers, A. Belloum, F. Diblen, J.H. Spaaks, (2020). “matchms - processing and similarity evaluation of mass spectrometry data”. Journal of Open Source Software, 5(52), 2411, https://doi.org/10.21105/joss.02411

Many extra thanks!

## Tutorial on matchms and Spec2Vec Possibly the easiest way to learn how to run matchmsextras is to follow our tutorial on matchms.

Metadata

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