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
Figure 2: Data analysis work flow