Research

Research within this initiative is divided into three thrust areas (TAs):

TA1: 
Enhancing Multi-Scale Phenomics Measurements

Four projects represent Thrust Area 1 of the Predictive Phenomics Initiative

Projects in this thrust area will develop and advance new omics-based technologies and chemical biology capabilities to go beyond current abundance measurements and instead directly measure multiple function types at scale.

 

 

 

TA2:
Science Drivers for Collaboration

Four projects represent Thrust Area 2 of the Predictive Phenomics Initiative.

Projects in this thrust area will employ coordinated biological systems that serve as science drivers to establish a taxonomy of biodesign patterns.

 

 

 

 

TA3:
Computational Methods for Predicting & Controlling the Phenome

Six projects represent Thrust Area 3 of the Predictive Phenomics Initiative.

Projects in this thrust area will develop biologically informed machine learning in synergy with physically informed machine learning to identify phenotypic signatures for predicting and controlling the phenome.

 

 

 

 

Data & Software Management

To achieve the goals of the Predictive Phenomics Initiative (PPI), all of our data and code must be gathered, annotated, and stored in standardized formats to ensure maximum usage for modeling and future engineering efforts. 

We have three parallel activities to meet our data & software management goals:

Research topics

Biology
Integrative Omics
Human Health
Soil Microbiome