Version 1
: Received: 9 September 2022 / Approved: 13 September 2022 / Online: 13 September 2022 (10:36:35 CEST)
How to cite:
Guzzi, P. H.; Scicchitano, R.; Veltri, P. NOMA-DB: A Framework for Management and Analysis of Ageing-related Gene-Expression Data. Preprints2022, 2022090172. https://doi.org/10.20944/preprints202209.0172.v1
Guzzi, P. H.; Scicchitano, R.; Veltri, P. NOMA-DB: A Framework for Management and Analysis of Ageing-related Gene-Expression Data. Preprints 2022, 2022090172. https://doi.org/10.20944/preprints202209.0172.v1
Guzzi, P. H.; Scicchitano, R.; Veltri, P. NOMA-DB: A Framework for Management and Analysis of Ageing-related Gene-Expression Data. Preprints2022, 2022090172. https://doi.org/10.20944/preprints202209.0172.v1
APA Style
Guzzi, P. H., Scicchitano, R., & Veltri, P. (2022). NOMA-DB: A Framework for Management and Analysis of Ageing-related Gene-Expression Data. Preprints. https://doi.org/10.20944/preprints202209.0172.v1
Chicago/Turabian Style
Guzzi, P. H., Rocco Scicchitano and Pierangelo Veltri. 2022 "NOMA-DB: A Framework for Management and Analysis of Ageing-related Gene-Expression Data" Preprints. https://doi.org/10.20944/preprints202209.0172.v1
Abstract
Recently, many independent research project focus on the study of the molecular basis of agingprocesses. I parallel, the different progression of many diseaes between sex is a hot topic researcharea. These studies require many data, models and tools for inferring aging and sex specific molecularmachinaries. Among the others, the Genotype-Tissue Expression (GTEx) database is one of thepreminent resources for the analysis of expression data related to tissues, sex and age. The currentversion of the database has a lot of querying interface that enable many analysis centered on theexpression of genes on tissues. Despite this the database lacks on the analysis at sex/age level, thusthe researcher has to download data and then write queries by hand. Nevertheless it lacks on theintegration with existing protein interaction data. Therefore, the need for the introduction of toolsenabling easy access and powerful analysis capabilities (i.e. state of the art network based analysisand integration), arises. We here present NOMA-DB a framework for the analysis of age relatedgenes based on the GTEx database that enable easy querying at sex/age level, network based analysis.The framework is based on wrapping the GTEx database and on building an application logic levelon top of existing data. The current version enables the analysis of genes by tissue, gene and age,thus it may be used in potentially future directions of analysis towards better comprehension ofaging/sex-related molecular machineries based on the analysis of expression dat
Keywords
ageing GTEx analysis
Subject
Computer Science and Mathematics, Mathematical and Computational Biology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.