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Publications

Journal Article Epublish

PubMed: 39735575 DOI: 10.1093/bioadv/vbae192

Protomix: a Python package for H-NMR metabolomics data preprocessing.

Bioinform Adv 5(1):vbae192

Authors: Mohammed Zniber, Youssef Fatihi, Tan-Phat Huynh

Affiliations

  • Laboratory of Molecular Science and Engineering, Ã…bo Akademi University, Henrikinkatu 2, Turku 20500, Finland.
  • Department of Computer Science, Ibn Tofail University, Kenitra 14000, Morocco.

Abstract

Motivation

NMR-based metabolomics is a field driven by technological advancements, necessitating the use of advanced preprocessing tools. Despite this need, there is a remarkable scarcity of comprehensive and user-friendly preprocessing tools in Python. To bridge this gap, we have developed Protomix-a Python package designed for metabolomics research. Protomix offers a set of automated, efficient, and user-friendly signal-preprocessing steps, tailored to streamline and enhance the preprocessing phase in metabolomics studies.

Results

This package presents a comprehensive preprocessing pipeline compatible with various data analysis tools. It encompasses a suite of functionalities for data extraction, preprocessing, and interactive visualization. Additionally, it includes a tutorial in the form of a Python Jupyter notebook, specifically designed for the analysis of 1D H-NMR metabolomics data related to prostate cancer and benign prostatic hyperplasia.

Availability and implementation

Protomix can be accessed at https://github.com/mzniber/protomix and https://protomix.readthedocs.io/en/latest/index.html.

MeSH

Metabolomics