NOMA-DB: a framework for management and analysis of ageing-related gene-expression data

Guzzi, Pietro Hiram; Lomoio, Ugo; Scicchitano, Rocco; Veltri, Pierangelo

doi:10.1109/bibm55620.2022.9994891

Cited by 2 publications

(1 citation statement)

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“…Main strengths of the database are the annotations related to targeting drugs, homologs, ontology and related RNA-seq datasets of SAGs. NOMA-DB [35] is a framework allowing the query of age related genes based on the GTEx database. Current version of NOMA-DB, available at allows to query and navigate the database by using sex and age information to perform data analysis of genes related to diabetes comorbidities.…”

Section: Related Workmentioning

confidence: 99%

Sex Age Annotated Omics Data: Enabling Powerful Omics Studies

Guzzi¹,

Cortese²,

Giancotti³

et al. 2023

Preprint

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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

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Section: Related Workmentioning

confidence: 99%