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 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.
Bioinformatics Research Center, North Carolina State University, Raleigh, NC 27607, USA; Department of Statistics, North Carolina State University, Raleigh, NC 27607, USA.
Daniel M
0000-0001-6031-9927
DM
Rotroff
Bioinformatics Research Center, North Carolina State University, Raleigh, NC 27607, USA; Department of Statistics, North Carolina State University, Raleigh, NC 27607, USA.
Alison A
0000-0003-1346-2493
AA
Motsinger-Reif
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