Blood Transfusion 2/2017 - Thematic issue on "Red blood cell storage and clinical outcomes: new insights" (March-April)
Interpreting the deluge of omics data: new approaches offer new possibilities
Authors:  Aarash Bordbar
Pages:  189-190
To cite this article:  Blood Transfus 2017; 15: 189-90
Doi:  10.2450/2017.0356-16
Published online:  20/02/2017

Dear Sir,
Developments in assay technologies have transformed biology from a data-poor qualitative field to a data-rich quantitative field. The cost of biological data generation has exponentially decreased in the past two decades, allowing simultaneous measurement of several types of biomolecules, including DNA, RNA, proteins, and metabolites. Particularly for Transfusion Medicine, studies have generated metabolomics and proteomics data of stored red blood cells (RBCs) and platelets detailing time-dependent changes. These high-throughput, or "omics", datasets measure hundreds of metabolites and proteins at tens of time points for each replicate, resulting in studies with over 10,000 data points. As seen in other fields that have generated omics datasets for nearly two decades, it is apparent that data analysis and interpretation, rather than data generation, is becoming the bottleneck of biological discovery1. [...]
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