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

Figure 2: Data analysis work flow