Energy genomics

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

GENOME SEQUENCING

INVESTIGATES

  • Genomic and subsequent protein properties
  • Molecular structures

IT DEMAND

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

SYSTEM-WIDE EXPERIMENTS

INVESTIGATES

  • 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

PREDICTION

INVESTIGATES

  • 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