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Embracing Integrative Multiomics Approaches
As “-omics” data technology advances and becomes more readily accessible to address complex biological questions, increasing amount of cross “-omics” dataset is inspiring the use and development of integrative bioinformatics analysis. In the current review, we discuss multiple options for integratin...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5027047/ https://www.ncbi.nlm.nih.gov/pubmed/27689071 http://dx.doi.org/10.1155/2016/1715985 |
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author | Rotroff, Daniel M. Motsinger-Reif, Alison A. |
author_facet | Rotroff, Daniel M. Motsinger-Reif, Alison A. |
author_sort | Rotroff, Daniel M. |
collection | PubMed |
description | As “-omics” data technology advances and becomes more readily accessible to address complex biological questions, increasing amount of cross “-omics” dataset is inspiring the use and development of integrative bioinformatics analysis. In the current review, we discuss multiple options for integrating data across “-omes” for a range of study designs. We discuss established methods for such analysis and point the reader to in-depth discussions for the various topics. Additionally, we discuss challenges and new directions in the area. |
format | Online Article Text |
id | pubmed-5027047 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-50270472016-09-29 Embracing Integrative Multiomics Approaches Rotroff, Daniel M. Motsinger-Reif, Alison A. Int J Genomics Review Article As “-omics” data technology advances and becomes more readily accessible to address complex biological questions, increasing amount of cross “-omics” dataset is inspiring the use and development of integrative bioinformatics analysis. In the current review, we discuss multiple options for integrating data across “-omes” for a range of study designs. We discuss established methods for such analysis and point the reader to in-depth discussions for the various topics. Additionally, we discuss challenges and new directions in the area. Hindawi Publishing Corporation 2016 2016-09-04 /pmc/articles/PMC5027047/ /pubmed/27689071 http://dx.doi.org/10.1155/2016/1715985 Text en Copyright © 2016 D. M. Rotroff and A. A. Motsinger-Reif. https://creativecommons.org/licenses/by/4.0/ 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. |
spellingShingle | Review Article Rotroff, Daniel M. Motsinger-Reif, Alison A. Embracing Integrative Multiomics Approaches |
title | Embracing Integrative Multiomics Approaches |
title_full | Embracing Integrative Multiomics Approaches |
title_fullStr | Embracing Integrative Multiomics Approaches |
title_full_unstemmed | Embracing Integrative Multiomics Approaches |
title_short | Embracing Integrative Multiomics Approaches |
title_sort | embracing integrative multiomics approaches |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5027047/ https://www.ncbi.nlm.nih.gov/pubmed/27689071 http://dx.doi.org/10.1155/2016/1715985 |
work_keys_str_mv | AT rotroffdanielm embracingintegrativemultiomicsapproaches AT motsingerreifalisona embracingintegrativemultiomicsapproaches |