Computational approaches, omics data

Computational Approaches for Visualization and Integration of Omics Data... 

Increasing number of papers using combinations of different Omics approaches are published, whereas transcriptomics and metabolomics are often preferred. Combined analysis of both can be carried in different ways, as shown above. Different software tools have been developed for analysis of each single technology, but solutions for combined analysis are emerging. This is especially true for overrepresentation or enrichment analysis in high-level data fusion. With more powerful computer infrastructure available even low-level data fusion (e.g., correlation analysis) will be conducted. Here computational power will be needed because calculation time increases not linearly with data size but rather quadratic or higher. 

---