High Performance Computing in Life Sciences / Bioinformatics
Transferpass High Performance Computing in Life Sciences Bioinformatik
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High Performance Computing in Life Sciences / Bioinformatics

Applied Life Sciences

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  6. High Performance Computing in Life Sciences / Bioinformatics / Computational Biology

Areas of competence

  • Artificial Intelligence and Deep Learning in Life Sciences
  • Machine Learning and Data Exploration
  • Bioinformatic applications in medicine and life sciences
  • Bioprocess automation
  • Sequence analyses
  • Transcriptomics and expression analyses
  • Systems biology and proteomics
  • Mathematical modelling
  • Biostatistics
  • Conception and implementation of automation solutions in biological processes
  • Differential gene expression
  • Analyses of high-throughput data (sequencing and array data)
  • Biological networks
  • Biostatistical analyses of medical and biological data
  • Conception and implementation of individualised databases

Laboratories

  • High Performance Computing
  • Bioinformatics Lab

Equipment

  • 1 Bladeserver, 7 knots, 96 CPU cores, 2240 GB RAM, NVIDIA Tesla M2090
  • 1 Bladeserver system, 6 knots, 80 CPU cores, 1920 GB RAM, two NVIDIA GRID K2, 28 TB integrated storage
  • 50 TB central storage
  • 48 slot tape storage system
  • 25 PCs with 4 CPU cores and 16 GB RAM and NVIDIA GPGPU

Membership in networks

  • Glyconet Berlin-Brandenburg e. V.

Cooperation

  • University Hamburg
  • UKE Hamburg
  • Charité Berlin
  • Endokrinologikum
  • Novartis Pharma GmbH
  • AnaTox GmbH & Co KG

Contact:


    Prof. Dr. rer. nat. Heike Pospisil

Prof. Dr. rer. nat. Heike Pospisil Prof. Dr. rer. nat. Heike Pospisil

Tel.: +49 3375 508 949
Mobile: +49 1515 9095370
Email: heike.pospisil@th-wildau.de
House 19, Room 135

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