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Innovations in microplate reader technology
How to handle Big Data?22 May 2015
Over the last few years, more and more technologies have been developed to detect different biomolecules in living organisms. It is possible to collect information about gene sequences (Genomics), epigenetic modifications (Epigenomics), RNA transcripts (Transcriptomics), proteins (Proteomics) and metabolic products (Metabolomics). These Omics topics mainly apply to scientists that work in the life sciences fields of molecular biology, biomedicine or health research. However, the drawback is obvious ...

Only fragments of the huge quantities of OMICs data can be analyzed adequately at present. It will be a huge challenge to find possibilities to relate the results of the different disciplines to each other as well as to make all data available to the scientific community.

What would be necessary to convert the entirety of information into greater knowledge? The German National Academy of Sciences Leopoldina states that in Germany enormous efforts would be necessary to handle the huge amount of data properly in order to remain internationally competitive. They see need for action on several fronts:

  1. Setting up a national omics using a nationwide network of distributed centers.
  2. Defining standards for data collection processing, quality control and storage in order to find suitable IT omics infrastructure.
  3. Omics knowledge transition to students should be enabled via structured trainings at an early stage of the course studies across institutions.
  4. Funding of institutions and organizations that will develop the above mentioned omics and IT infrastructure must be secured by federal funds in a sustainable way.

These suggestions make clear that much remains to be done in order to realize the manifold potential of all the Omics data.



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