Predictive Phenomics

Using a reverse genome strategy to target
the molecular basis of function

Predictive Phenomics

Illustration by Stephanie King

The genome revolution has provided a current technical capability to sequence organisms at a pace that delivers 50–100 billion kilobytes of data per day. However, for scientists to transform this data to innovative biological solutions, there must be science that overcomes the current standard of inferring biological function from gene data. Realizing the full potential of biology on the economy and society will require moving from genome to function.

To overcome the inference gap, the Predictive Phenomics Science and Technology Initiative team will use a reverse genomics approach to target the molecular basis of function. The initiative’s strategy will not solely rely on genomic information. The reverse genomic strategy (metabolomea>proteome>genome) will derive functional information by examining the relationships between proteins and metabolites before ascribing their functions to associated genes.

Schematic Overview of the Predictive Phenomics S&T Initiative

The initiative’s research is organized into three science and technology thrust areas:

  1. enhancing multi-scale phenomics measurements;
  2. identifying molecular patterns of biological function; and
  3. developing computational methods to identify phenotypic signatures for predicting and controlling the phenome.


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