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Multi-Omics Model Applied to Cancer Genetics
In this review, we focus on bioinformatic oncology as an integrative discipline that incorporates knowledge from the mathematical, physical, and computational fields to further the biomedical understanding of cancer. Before providing a deeper insight into the bioinformatics approach and utilities in...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8199287/ https://www.ncbi.nlm.nih.gov/pubmed/34072237 http://dx.doi.org/10.3390/ijms22115751 |
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author | Pettini, Francesco Visibelli, Anna Cicaloni, Vittoria Iovinelli, Daniele Spiga, Ottavia |
author_facet | Pettini, Francesco Visibelli, Anna Cicaloni, Vittoria Iovinelli, Daniele Spiga, Ottavia |
author_sort | Pettini, Francesco |
collection | PubMed |
description | In this review, we focus on bioinformatic oncology as an integrative discipline that incorporates knowledge from the mathematical, physical, and computational fields to further the biomedical understanding of cancer. Before providing a deeper insight into the bioinformatics approach and utilities involved in oncology, we must understand what is a system biology framework and the genetic connection, because of the high heterogenicity of the backgrounds of people approaching precision medicine. In fact, it is essential to providing general theoretical information on genomics, epigenomics, and transcriptomics to understand the phases of multi-omics approach. We consider how to create a multi-omics model. In the last section, we describe the new frontiers and future perspectives of this field. |
format | Online Article Text |
id | pubmed-8199287 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81992872021-06-14 Multi-Omics Model Applied to Cancer Genetics Pettini, Francesco Visibelli, Anna Cicaloni, Vittoria Iovinelli, Daniele Spiga, Ottavia Int J Mol Sci Review In this review, we focus on bioinformatic oncology as an integrative discipline that incorporates knowledge from the mathematical, physical, and computational fields to further the biomedical understanding of cancer. Before providing a deeper insight into the bioinformatics approach and utilities involved in oncology, we must understand what is a system biology framework and the genetic connection, because of the high heterogenicity of the backgrounds of people approaching precision medicine. In fact, it is essential to providing general theoretical information on genomics, epigenomics, and transcriptomics to understand the phases of multi-omics approach. We consider how to create a multi-omics model. In the last section, we describe the new frontiers and future perspectives of this field. MDPI 2021-05-27 /pmc/articles/PMC8199287/ /pubmed/34072237 http://dx.doi.org/10.3390/ijms22115751 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Pettini, Francesco Visibelli, Anna Cicaloni, Vittoria Iovinelli, Daniele Spiga, Ottavia Multi-Omics Model Applied to Cancer Genetics |
title | Multi-Omics Model Applied to Cancer Genetics |
title_full | Multi-Omics Model Applied to Cancer Genetics |
title_fullStr | Multi-Omics Model Applied to Cancer Genetics |
title_full_unstemmed | Multi-Omics Model Applied to Cancer Genetics |
title_short | Multi-Omics Model Applied to Cancer Genetics |
title_sort | multi-omics model applied to cancer genetics |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8199287/ https://www.ncbi.nlm.nih.gov/pubmed/34072237 http://dx.doi.org/10.3390/ijms22115751 |
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