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High Performance Computing

Infrastructure

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OBJECTIVES AND SPECIFICATIONS

  • Rapid quality control, error correction and assembly of genome-scale DNA & RNA sequence datasets.
  • Sequence motif and similarity-based identification of functional genetic elements for genome annotation.
  • Understanding the principles of self-assembly of oligomers in various environments via all-atom and coarse-grained simulations.
  • Understanding the working principles of proteins by using molecular dynamics simulations.

AREAS OF IMPACT AND APPLICATIONS

  • Genome-wide identification of mutations and polymorphisms for population genetics studies
  • Design and in silico verification of Molecular Markers for crop breeding
  • Investigation of point mutations that lead to diseased states in proteins
  • Drug design
  • Design of nanoparticles as nanoscopic delivery vehicles

EQUIPMENT LIST

  • 1 head node and 16 compute node HPC server
  • Total core number: 320
  • Total Ram: 4 TB
  • Total Disk: 80 TB
  • Total GPU: 12 x Nvidia K20 GPU
  • Network: 56 Gb/s FDR InfiniBand
  • 2 redundant air-condition + Chiller
Sabancı Sunum

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