Amb motiu del tancament d'estiu, la validació de documents es reprendrà a partir del 28 d'agost de 2026. Disculpeu les molèsties.
Con motivo del cierre de verano, la validación de documentos se reanudará a partir del 28 de agosto de 2026. Disculpad las molestias
Due to the summer closure, document validation will resume starting August 28, 2026. We apologize for any inconvenience.

Files

714142.pdf (901.1 KB)

Document type

Article

Version

Published version

Publication date

2021-07-01

Publication license

cc-by (c) Castellano-Escuder, Pol et al., 2021
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/184361

POMAShiny: A user-friendly web-based workflow for metabolomics and proteomics data analysis

Journal Title

Authors

Director/Tutor

Journal ISSN

Volume Title

Related resource

https://doi.org/10.1371/journal.pcbi.1009148

Abstract

Metabolomics and proteomics, like other omics domains, usually face a data mining challenge in providing an understandable output to advance in biomarker discovery and precision medicine. Often, statistical analysis is one of the most difficult challenges and it is critical in the subsequent biological interpretation of the results. Because of this, combined with the computational programming skills needed for this type of analysis, several bioinformatic tools aimed at simplifying metabolomics and proteomics data analysis have emerged. However, sometimes the analysis is still limited to a few hidebound statistical methods and to data sets with limited flexibility. POMAShiny is a web-based tool that provides a structured, flexible and user-friendly workflow for the visualization, exploration and statistical analysis of metabolomics and proteomics data. This tool integrates several statistical methods, some of them widely used in other types of omics, and it is based on the POMA R/Bioconductor package, which increases the reproducibility and flexibility of analyses outside the web environment. POMAShiny and POMA are both freely available at https://github.com/nutrimetabolomics/POMAShiny and https://github.com/nutrimetabolomics/POMA, respectively.

Subject

Metabolòmica, Proteòmica, Cicle de treball, Intranets (Xarxes d'ordinadors)

Subject (English)

Metabolomics, Proteomics, Workflow, Intranets (Computer networks)

Citation

Collections

Articles publicats en revistes (Genètica, Microbiologia i Estadística)
Articles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia)

Citation

CASTELLANO-ESCUDER, Pol, et al. POMAShiny: A user-friendly web-based workflow for metabolomics and proteomics data analysis. PLoS Computational Biology. 2021. Vol. 17, num. 7, pags. 1-15. ISSN 1553-734X. [consulted: 18 of August of 2026]. Available at: https://hdl.handle.net/2445/184361

Export metadata

JSON - METS

Share record