Core Facilities

We provide quality, central facility, equipped with cutting edge tools at the forefront of technology

Immunology Translational Research Programme Core Facilities Bioinformatics Core

In the age of single cell RNA sequencing, spatial transcriptomics, multi-omics and deep immunophenotyping flow cytometry, computational immunology data analytics is a necessity. In addition to providing standardized bioinformatics analysis, the core (managed by Dr Chen Jinmiao and Dr Cui Jianzhou) also develops customized bioinformatics analyses for specific projects and provides training to students and staffs. This core also supports the activities of our other facilities including Flow Cytometry, Single Cell Genomics and the NUS-Cambridge Immune Phenotyping Centre.

Our Mission

Data analysis services & Training

Faculty Advisor

Dr Chen Jinmiao, Assistant Professor
  • Principal investigator at SIgN, A STAR
  • Asst Prof. at Department of Microbiology and Immunology
Dr Cui Jianzhou, Senior Research Fellow
  • Immunology Translational Research Program
Support team Dr. Chen’s group

Next-generation sequencing data processing:

  • DNA sequencing (DNASeq): whole-exome sequencing (WES or WXS), whole-genome sequencing (WGS)
  • RNA sequencing (RNASeq): mRNAseq, single-cell RNA sequencing (scRNAseq), microRNAseq, lncRNAseq
  • Epigenomics: Methylation sequencing (Methylseq), chromatin immunoprecipitation sequencing (ChIPseq)
  • Proteomics: Mass cytometry by the time of flight (CyTOF) and mass spectrometry (MS)
  • Metabolomics
  • Microbiome

Analyses regularly performed:

  • Sample QC and batch correction
  • Single nucleotide variants (SNVs), INDELs, copy number variants (CNVs)
  • Gene set enrichment and pathways and gene expression
  • DEGs and cell types annotation 
  • Identifying differentiating elements
  • Machine learning models for multi-omics integration
  • Retrieving  and annotating public omics data sets
  • Bacteria abundance and diversity
  • TCGA, ICGC, Genotype-Tissue Expression (GTEx) project, UK Biobank, Trans-Omics for Precision Medicine (TOPMed), GEO
Developing reproducible workflows, analyzing next-generation sequencing data, and
supporting manuscript development/publication.​

Single-cell analysis workshop and Hands on​