Technical Note: mzML and imzML Libraries for Processing Mass Spectrometry Data with the High-Performance Programming Language Julia-Reference-Cited by-同舟云学术

Technical Note: mzML and imzML Libraries for Processing Mass Spectrometry Data with the High-Performance Programming Language Julia

Published:2024-03-01 Issue:10 Volume:96 Page:3999-4004
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Rosas-Román Ignacio¹,Guillén-Alonso Héctor²³^ORCID,Moreno-Pedraza Abigail⁴⁵,Winkler Robert²^ORCID

Affiliation:

1. Universidad de Guanajuato, División de Ciencias e Ingenierías, Loma del Bosque 103, Lomas del Campestre, 37150 León, Guanajuato, Mexico

2. Center for Research and Advanced Studies (CINVESTAV) Irapuato, UGA-Langebio, Km. 9.6 Libramiento Norte Carr. Irapuato-León, 36824 Irapuato, Guanajuato, Mexico

3. Department of Biochemical Engineering, National Technological Institute, 38010 Celaya, Guanajuato, Mexico

4. Leibniz Institute for Vegetable and Ornamental Crops (IGZ) e.V., Theodor-Echtermeyer-Weg 1, 14979, Großbeeren, Germany

5. Institute of Biodiversity, Friedrich Schiller University Jena, Dornburger-Str. 159, 07743, Jena, Germany

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.3c05853

Reference39 articles.

1. Processing Metabolomics and Proteomics Data with Open Software

2. R Core Team. R: A Language and Environment for Statistical Computing 2018; https://www.r-project.org/ (accessed 2024-02-14).

3. MALDIquant: a versatile R package for the analysis of mass spectrometry data

4. XCMS: Processing Mass Spectrometry Data for Metabolite Profiling Using Nonlinear Peak Alignment, Matching, and Identification

5. MetaboAnalyst: a web server for metabolomic data analysis and interpretation

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