Energy genomics investigates genomes of ecosystems to understand, predict and manipulate dynamic biological structures and functions to solve challanging energy problems.



Genome sequencing


 - Genomic and subsequent protein properties

 - Molecular structures


IT demand

 - omics data (genome resequencing, RNA-Seq, peptide mapping)

System-wide experiments


 - comprehensive regulatory mechanisms

 - dynamic system-level functions and relations


IT demand

 - development of current technologies and methods needed to a genome-based dynamic system-level understanding of organisms and functions

 - development of modeling skills and computational infrastructure



 - functional potential


IT demand

 - predictive approach (genome reannotation, functional RNA prediction

 - genetic element identification (promoters, RBSs, UTRs)

Environmental technology

 - sustainable and viable biofuel

 - decontamination of water, air, soil

 - production of chemicals

 - biosensors


Climate technology

 - Earth system modelling

 - pollution prevention

 - waste minimalization


Agricultiral technology

 - carbon cycling processes

 - biosequestration strategies

 - energy from renewable resources, agricultural waste

 - genetic engineering applied on plants and animals