Computational Immunology

PI/Head (Acting): Kaibo DUAN, Ph.D.
Email: Duan_Kaibo@immunol.a-star.edu.sg

For more information regarding the SIgN Computational Immunology Platform and services, please download a copy of our brochure here.

The Computational Immunology Platform uses state-of-the-art methods to analyse SIgN data and deliver pipelines and workflows to accelerate research.

Overview

The Computational Immunology platform uses state-of-the-art methods to analyse SIgN data and deliver pipelines and workflows to accelerate research. The Computational Immunology team handles not only the "usual" datasets, such as microarray and next-generation sequencing data, but also various heterogeneous datasets, such as those derived by flow cytometry, ELISA and Luminex assays and assesses the cross-correlation between these data (Figure 1).

Technologies and Applications

  • Accelrys Pipeline Pilot
  • Tibco Spotfire
  • MySQL
  • R
  • Metacore/GeneGo
  • Ingenuity Pathway Analysis
  • Oncomine
  • Transfac
  • Tuxedo suite for NGS analysis

Equipment

  • 31 node, 8 cores/node, 48Gb RAM/node linux cluster
  • 12 core, 64Gb RAM, 18 Tb RAID5 linux workstation
  • 6 core, 48Gb RAM, 35 Tb RAID5 Solaris database server and backup storage
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Figure 1: Examples of data analysis
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Figure 2: Data analysis work flow