Sex Age Annotated Omics Data: Enabling Powerful Omics Studies

Pietro Hiram Guzzi; Francesca Cortese; Raffaele Giancotti; Ugo Lomoio; Barbara Puccio; Patrizia Vizza; Giuseppe Tradigo; Pierangelo Veltri

doi:10.20944/preprints202303.0207.v1

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preprints.org > biology and life sciences > biochemistry and molecular biology > doi: 10.20944/preprints202303.0207.v1

Preprint Brief Report Version 1 Preserved in Portico This version is not peer-reviewed

Sex Age Annotated Omics Data: Enabling Powerful Omics Studies

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Version 1 : Received: 10 March 2023 / Approved: 13 March 2023 / Online: 13 March 2023 (02:33:36 CET)
Version 2 : Received: 14 March 2023 / Approved: 15 March 2023 / Online: 15 March 2023 (02:00:02 CET)

How to cite: Guzzi, P.H.; Cortese, F.; Giancotti, R.; Lomoio, U.; Puccio, B.; Vizza, P.; Tradigo, G.; Veltri, P. Sex Age Annotated Omics Data: Enabling Powerful Omics Studies. Preprints 2023, 2023030207. https://doi.org/10.20944/preprints202303.0207.v1 Guzzi, P.H.; Cortese, F.; Giancotti, R.; Lomoio, U.; Puccio, B.; Vizza, P.; Tradigo, G.; Veltri, P. Sex Age Annotated Omics Data: Enabling Powerful Omics Studies. Preprints 2023, 2023030207. https://doi.org/10.20944/preprints202303.0207.v1

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MDPI and ACS Style

Guzzi, P.H.; Cortese, F.; Giancotti, R.; Lomoio, U.; Puccio, B.; Vizza, P.; Tradigo, G.; Veltri, P. Sex Age Annotated Omics Data: Enabling Powerful Omics Studies. Preprints 2023, 2023030207. https://doi.org/10.20944/preprints202303.0207.v1

APA Style

Guzzi, P.H., Cortese, F., Giancotti, R., Lomoio, U., Puccio, B., Vizza, P., Tradigo, G., & Veltri, P. (2023). Sex Age Annotated Omics Data: Enabling Powerful Omics Studies. Preprints. https://doi.org/10.20944/preprints202303.0207.v1

Chicago/Turabian Style

Guzzi, P.H., Giuseppe Tradigo and Pierangelo Veltri. 2023 "Sex Age Annotated Omics Data: Enabling Powerful Omics Studies" Preprints. https://doi.org/10.20944/preprints202303.0207.v1

Abstract

There is increasing evidence that many molecular processes exhibit differences with age 1 and sex. Such differences produces also differences in the insurgence and progression of many 2 complex diseases. For instances, demographic data on insurgence of comorbidities of mellitus 3 diabetes, on lethality of COVID-19, and on some cancers, shows differences between sex and age 4 groups. Therefore, the growing interest on such area requires the management of related data as 5 well as the development of algorithms and tool for the analysis. The availability of omics data 6 annotated with metadata related to age and sex is mandatory for building pipeline of the analysis. 7 The number of databases containing data related to age and sex is hencefort growing. We here show 8 some databases and tools storing such data. Finally, future research direction are highlighte

Keywords

Annotation Proteome

Subject

Biology and Life Sciences, Biochemistry and Molecular Biology

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