Research Data Integration group

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. To achieve this goal, we are developing capabilities to analyze and integrate multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare instituitions and national platforms in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer and other diseases.

Our group develops a wide range of computational, statistical, annotation and machine learning approaches to analyze large-scale multi-modal datasets generated from patients and patient derived models (xenografts, organoids and cell lines). We work closely with biologists, bioinformaticians and clinicians to build clinical and experimental data resources for diverse diseases that can scale research analysis and inform treatment options in the clinic, thereby improving patient outcomes. 

Current disease focus

1. Rare cancers - Adult soft tissue sarcoma and asian melanoma 

Collaborators: Asst Prof Valerie Yang (NCCS, IMCB), Dr. Toh Tan Boon (NUS WisDM), Dr. Yan Chuan (IMCB)

2. Non-alcoholic fatty liver disease

Collaborators: Prof Huck Hui Ng (GIS), A/Prof Dan Yock Young (NUH), Asst Prof Mark Muthiah (NUH)

3. Lymphoma

Collaborators: Prof Lim Soon Thye (NCCS), Asst Prof Anand Jeyasekharan (CSI, NUH), Dr Ong Choon Kiat (NCCS), Asst Prof Valerie Yang (NCCS, IMCB)

4. Asian Pan-cancer data integration 

Collaborators: Dr. Tam Wai Leong (GIS)

5. Singapore Translational Cancer Consortium

6. Cancer Immunology 

Collaborators: Dr. Lau Mai Chan (BII)

We are equipped to develop these data resource platforms on data security compliant infrastructure, such as BII Biomed DAR.