<p>POMA: An user-friendly workow for pre-processing and statistical analysis of mass spectrometry data</p>

Pol Castellano-Escuder; Raúl González-Domínguez; Cristina Andrés-Lacueva; Alex Sánchez-Pla

doi:10.7490/f1000research.1118454.1

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Castellano-Escuder P, González-Domínguez R, Andrés-Lacueva C and Sánchez-Pla A. POMA: An user-friendly workow for pre-processing and statistical analysis of mass spectrometry data [version 1; not peer reviewed]. F1000Research 2020, 9:1475 (slides) (https://doi.org/10.7490/f1000research.1118454.1)

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POMA: An user-friendly workow for pre-processing and statistical analysis of mass spectrometry data

Pol Castellano-Escuder¹, Raúl González-Domínguez, Cristina Andrés-Lacueva, Alex Sánchez-Pla¹

Published 17 Dec 2020 (https://doi.org/10.7490/f1000research.1118454.1)

Author Affiliations

¹ University of Barcelona, Spain

Copyright © 2020 Castellano-Escuder P et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 17 Dec 2020

POMA: An user-friendly workow for pre-processing and statistical analysis of mass spectrometry data
[version 1; not peer reviewed]

Pol Castellano-Escuder¹, Raúl González-Domínguez, Cristina Andrés-Lacueva, Alex Sánchez-Pla¹

Author Affiliations

¹ University of Barcelona, Spain

Presented at

European Bioconductor Meeting 2020

Abstract

Competing Interests

No competing interests were disclosed

Keywords

mass spectrometry, metabolomics, proteomics, statistical analysis, workflow, Bioconductor, EDA, bioinformatics

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