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Nursing Informatics and Epigenetics: Methodological Considerations for Big Data Analysis
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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241417/ https://www.ncbi.nlm.nih.gov/pubmed/36728378 http://dx.doi.org/10.1097/CIN.0000000000000992 |
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author | Milner, John J. Zadinsky, Julie K. Shiao, S. Pamela K. |
author_facet | Milner, John J. Zadinsky, Julie K. Shiao, S. Pamela K. |
author_sort | Milner, John J. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10241417 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-102414172023-06-06 Nursing Informatics and Epigenetics: Methodological Considerations for Big Data Analysis Milner, John J. Zadinsky, Julie K. Shiao, S. Pamela K. Comput Inform Nurs Features 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. Lippincott Williams & Wilkins 2023-01-09 /pmc/articles/PMC10241417/ /pubmed/36728378 http://dx.doi.org/10.1097/CIN.0000000000000992 Text en Copyright © 2023 The Authors. Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Features Milner, John J. Zadinsky, Julie K. Shiao, S. Pamela K. Nursing Informatics and Epigenetics: Methodological Considerations for Big Data Analysis |
title | Nursing Informatics and Epigenetics: Methodological Considerations for Big Data Analysis |
title_full | Nursing Informatics and Epigenetics: Methodological Considerations for Big Data Analysis |
title_fullStr | Nursing Informatics and Epigenetics: Methodological Considerations for Big Data Analysis |
title_full_unstemmed | Nursing Informatics and Epigenetics: Methodological Considerations for Big Data Analysis |
title_short | Nursing Informatics and Epigenetics: Methodological Considerations for Big Data Analysis |
title_sort | nursing informatics and epigenetics: methodological considerations for big data analysis |
topic | Features |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241417/ https://www.ncbi.nlm.nih.gov/pubmed/36728378 http://dx.doi.org/10.1097/CIN.0000000000000992 |
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