Nursing Informatics and Epigenetics: Methodological Considerations for Big Data Analysis.
Journal
Computers, informatics, nursing : CIN
ISSN: 1538-9774
Titre abrégé: Comput Inform Nurs
Pays: United States
ID NLM: 101141667
Informations de publication
Date de publication:
01 Jun 2023
01 Jun 2023
Historique:
medline:
5
6
2023
pubmed:
3
2
2023
entrez:
2
2
2023
Statut:
epublish
Résumé
Nursing informatics requires an understanding of patient-centered data and clinical workflow, and epigenetic research requires an understanding of data analysis. The purpose of this article is to document the methodology that nursing informatics specialists can use to conduct epigenetic research and subsequently strengthen patient-centered care. A pilot study of a secondary methylation data analysis using The Cancer Genome Atlas data from individuals with colon cancer is utilized to illustrate the methodology. The steps for conducting the study using public and free resources are discussed. These steps include finding a data source; downloading and analyzing differentially methylated regions; annotating differentially methylated region, gene ontology and function analysis; and reporting results. A model of epigenetic testing workflow is provided, as is a list of publicly available data and analysis sources that can be used to conduct epigenetic research.
Identifiants
pubmed: 36728378
doi: 10.1097/CIN.0000000000000992
pii: 00024665-202306000-00002
pmc: PMC10241417
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
369-376Informations de copyright
Copyright © 2023 The Authors. Published by Wolters Kluwer Health, Inc.
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