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...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
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| Series: | International Journal of Genomics |
| Online Access: | http://dx.doi.org/10.1155/2016/1715985 |
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| _version_ | 1832556206851358720 |
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| author | Daniel M. Rotroff Alison A. Motsinger-Reif |
| author_facet | Daniel M. Rotroff Alison A. Motsinger-Reif |
| author_sort | Daniel M. Rotroff |
| collection | DOAJ |
| 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 | Article |
| id | doaj-art-a331d219f0e74a45baa3e3f888012fd9 |
| institution | Kabale University |
| issn | 2314-436X 2314-4378 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Genomics |
| spelling | doaj-art-a331d219f0e74a45baa3e3f888012fd92025-02-03T05:46:03ZengWileyInternational Journal of Genomics2314-436X2314-43782016-01-01201610.1155/2016/17159851715985Embracing Integrative Multiomics ApproachesDaniel M. Rotroff0Alison A. Motsinger-Reif1Bioinformatics Research Center, North Carolina State University, Raleigh, NC 27607, USABioinformatics Research Center, North Carolina State University, Raleigh, NC 27607, USAAs “-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.http://dx.doi.org/10.1155/2016/1715985 |
| spellingShingle | Daniel M. Rotroff Alison A. Motsinger-Reif Embracing Integrative Multiomics Approaches International Journal of Genomics |
| 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 |
| url | http://dx.doi.org/10.1155/2016/1715985 |
| work_keys_str_mv | AT danielmrotroff embracingintegrativemultiomicsapproaches AT alisonamotsingerreif embracingintegrativemultiomicsapproaches |