Additional functionalities to be used with matchms
Project description
<img src=”https://github.com/matchms/matchmsextras/blob/main/images/matchmsextras_logo.png” width=”600”>
![GitHub Workflow Status](https://img.shields.io/github/actions/workflow/status/matchms/matchmsextras/CI_build.yml?branch=main) ![GitHub](https://img.shields.io/github/license/matchms/matchmsextras) [![PyPI](https://img.shields.io/pypi/v/matchmsextras?color=blue)](https://pypi.org/project/matchmsextras/)
# 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
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.
[Part I - Import and process MS/MS data using matchms](https://blog.esciencecenter.nl/build-your-own-mass-spectrometry-analysis-pipeline-in-python-using-matchms-part-i-d96c718c68ee)
[Part II - Compute spectral similarity using Spec2Vec](https://blog.esciencecenter.nl/build-a-mass-spectrometry-analysis-pipeline-in-python-using-matchms-part-ii-spec2vec-8aa639571018)
[Part III - Create molecular networks from Spec2Vec similarities](https://blog.esciencecenter.nl/build-a-mass-spectrometry-analysis-pipeline-in-python-using-matchms-part-iii-molecular-91891248ee34)
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file matchmsextras-0.4.2.tar.gz
.
File metadata
- Download URL: matchmsextras-0.4.2.tar.gz
- Upload date:
- Size: 24.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.17
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | fb8e6d28628e7f9d8c6ffeb956c273b5712e04a290df171072518315cae0006c |
|
MD5 | 9c79e59e8ec6c3c008050fba95f51572 |
|
BLAKE2b-256 | 1e542519320ecb03bee3fd30abc525f25b37a3a498caa25555e5837e5c7a3555 |
File details
Details for the file matchmsextras-0.4.2-py3-none-any.whl
.
File metadata
- Download URL: matchmsextras-0.4.2-py3-none-any.whl
- Upload date:
- Size: 24.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.17
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0011958ed4d874a587c03515b328377aebd38c5d2ebc013d75b9620ddcb14522 |
|
MD5 | 3e73285b92625fa29f7c1aacecda2947 |
|
BLAKE2b-256 | deecda01f5056660762622654f6c3592432febf5d80ea99323558f8845787b47 |