Skip to main content

A powerful GC/LC-HRMS data analysis tool

Project description

PyHRMS: Tools For working with High Resolution Mass Spectrometry (HRMS) data in Environmental Science

PyHRMS is a python package for processing high resolution Mass Spectrometry data coupled with gas chromatogram (GC) or liquid chromatogram (LC).

It aims to provide user friendly tool to read, process and visualize LC/GC-HRMS data for scientist.

Contributers: Rui Wang

First release date: Nov.15.2021

Update

Jan.15.2023: pyhrms 0.5.01 new features:

  • optimize algorithm

  • add function to process SWATH data

Installation & major dependencies pyhrms can be installed and import as following:

` pip install pyhrms `

If you just want to update a new version, please update as following:

` pip install pyhrms -U `

pyhrms requires major dependencies:

  • numpy>=1.19.2

  • pandas>1.3.3

  • matplotlib>=3.3.2

  • pymzml>=2.4.7

  • scipy>=1.6.2

  • molmass>=2021.6.18

  • tqdm>=4.62.3

Features

PyHRMS provides following functions:

  • Read raw LC/GC-HRMS data in mzML format;

  • Powerful and accurate peak picking function for LC/GC HRMS;

  • retention time (rt) and mass over Z stands for charge number of ions (m/z) will be aligned based on user defined error range.

  • Accurate function for comparing response between/among two or more samples;

  • Covert profile data to centroid

  • Parallel computing to improve efficiency;

  • Interactive visualizations of raw mzML data;

  • Supporting searching for Local database and massbank;

  • MS quality evaluation for ms data in profile.

  • Can process SWATH data.

Paper Published Utilizing PyHRMS

  • Jiang, X., Xue, Z., Chen, W., Xu, M., Liu, H., Liang, J., Zhang, L., Sun, Y., Liu, C., Yang, X., 2023. Biotransformation kinetics and pathways of typical synthetic progestins in soil microcosms. Journal of Hazardous Materials 446, 130684. https://doi.org/10.1016/j.jhazmat.2022.130684

  • Liang, J., Wang, R., Liu, H., Xie, D., Tao, X., Zhou, J., Yin, H., Dang, Z., Lu, G., 2022. Unintentional formation of mixed chloro-bromo diphenyl ethers (PBCDEs), dibenzo-p-dioxins and dibenzofurans (PBCDD/Fs) from pyrolysis of polybrominated diphenyl ethers (PBDEs). Chemosphere 308, 136246. https://doi.org/10.1016/j.chemosphere.2022.136246

  • Xia, D., Liu, H., Lu, Y., Liu, Y., Liang, J., Xie, D., Lu, G., Qiu, J., Wang, R., 2023. Utility of a non-target screening method to explore the chlorination of similar sulfonamide antibiotics: Pathways and N Cl intermediates. Science of The Total Environment 858, 160042. https://doi.org/10.1016/j.scitotenv.2022.160042

  • Yang, X., Wang, R., He, Z., 2023. Abiotic transformation of synthetic progestins in representative soil mineral suspension. Journal of Environmental Science 127, 375-388. https://doi.org/10.1016/j.jes.2022.06.007

Licensing

The package is open source and can be utilized under MIT license. Please find the detail in licence file.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyhrms-0.5.1.zip (53.0 kB view hashes)

Uploaded Source

Built Distribution

pyhrms-0.5.1-py3-none-any.whl (48.4 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page