Preprint Brief Report Version 2 Preserved in Portico This version is not peer-reviewed

Sex Age Annotated Omics Data: Enabling Powerful Omics Studies

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.v2 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.v2

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; Biological Databases; Aging Analysis

Subject

Computer Science and Mathematics, Mathematical and Computational Biology

Comments (1)

Comment 1
Received: 15 March 2023
Commenter: Pietro Hiram Guzzi
Commenter's Conflict of Interests: Author
Comment: We added a conclusion section.
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