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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...

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Autores principales: Pettini, Francesco, Visibelli, Anna, Cicaloni, Vittoria, Iovinelli, Daniele, Spiga, Ottavia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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.
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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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