<p>Computational approaches for MS-based yeast metabolomics-centric multi-omics data integration: critical survey and perspectives</p>

Luca De Martino; Fabrizio  Mastrorocco; Clara Musicco; Ernesto Picardi; Graziano Pesole; Sergio Giannattasio

doi:10.7490/f1000research.1119688.1

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De Martino L, Mastrorocco F, Musicco C et al. Computational approaches for MS-based yeast metabolomics-centric multi-omics data integration: critical survey and perspectives [version 1; not peer reviewed]. F1000Research 2023, 12:1573 (poster) (https://doi.org/10.7490/f1000research.1119688.1)

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Computational approaches for MS-based yeast metabolomics-centric multi-omics data integration: critical survey and perspectives

Luca De Martino¹, Fabrizio Mastrorocco, Clara Musicco, Ernesto Picardi, Graziano Pesole, Sergio Giannattasio

Published 11 Dec 2023 (https://doi.org/10.7490/f1000research.1119688.1)

Author Affiliations

¹ Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies (IBIOM), National Research Council of Italy, Bari, BA, Italy

Copyright © 2023 De Martino L 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 11 Dec 2023

Computational approaches for MS-based yeast metabolomics-centric multi-omics data integration: critical survey and perspectives
[version 1; not peer reviewed]

Luca De Martino¹, Fabrizio Mastrorocco, Clara Musicco, Ernesto Picardi, Graziano Pesole, Sergio Giannattasio

Author Affiliations

¹ Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies (IBIOM), National Research Council of Italy, Bari, BA, Italy

Presented at

Bioinformatics and Computational Biology Conference (BBCC), 2023

Competing Interests

No competing interests were disclosed

Keywords

Metabolomics, Integrative Omics

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