Computational Biology

Project Overview

The Computational Biology Program assembled Australia’s largest pediatric computational biology team to establish a robust data analysis and interpretation platform, vital for advancing precision medicine within our hospitals.

This program successfully pinpointed novel genes and markers associated with childhood cancer risk, translating these findings into enhanced diagnostic and treatment outcomes for children. With advanced technologies and close collaboration with clinicians, we managed to identify the genetic roots of cancer in over 90% of cases. These insights have not only informed new initiatives for disease prevention and early diagnosis in the wider community but have also extended into areas beyond pediatrics, including adult cancer and other rare diseases.

Ultimately, this investment has led to world-class healthcare for children and families in New South Wales, providing improved access to timely and tailored treatments.

Collaborations

  • Children’s Cancer Institute (Australia)
  • Kids Cancer Centre Sydney Children’s Hospital, Randwick, Sydney Children’s Hospitals Network (Australia)
  • Zero Childhood Cancer national and international partners network (8 hospitals, 20 research institutes), including all three NSW Paediatric oncology centres, Peter MacCallum Cancer Centre, Murdoch Children’s Research Institute, Garvan Institute of Medical Research, ProCan Proteomics, Children’s Medical Research Institute (Australia)
  • Children’s Hospital Westmead, Sydney Children’s Hospitals Network (Australia)
  • Children’s Medical Research Institute (Australia)
  • University of NSW (Australia)
  • Sydney University (Australia)
  • Children’s Hospital of Philadelphia (USA)
  • Australian Bioinformatics Data Commons (Australia)
  • Sick Kids, Toronto (Canada)
  • Hartwig Medical Foundation (Australia, Netherlands)
Summary

Precision medicine utilises large datasets that integrate omics data with clinical information and health outcomes to optimize disease diagnosis, treatment, and prevention personalised for each patient.

Lead Investigators

  • Mark_Cowley@2x

    Associate Professor Mark Cowley

    Group Leader, Computational Biology Group, Children’s Cancer Institute
  • Vanessa_Tyrell@2x

    Vanessa (Ness) Tyrrell

    Co-Head, Personalised Medicine Theme, Children’s Cancer Institute

Team

  • Dr Marie Wong-Erasmus

    Precision Medicine Informatics Manager, Children’s Cancer Institute (Australia)
  • Dr Mark Pinese

    Snr Bioinformatics Research Officer, Children’s Cancer Institute (Australia)
  • Mustafa Syed

    Senior Bioinformatics Engineer, Children’s Cancer Institute (Australia)
  • Sabrina Yan

    Bioinformatics Research Assistant, Children’s Cancer Institute (Australia)
  • Louise Cui

    Bioinformatics Research Assistant, Children’s Cancer Institute (Australia)
  • Sam El-Kamand

    Bioinformatics Research Assistant, Children’s Cancer Institute (Australia)
  • Chelsea Mayoh

    PhD student, Children’s Cancer Institute (Australia)
  • Patricia Sullivan

    PhD student, Children’s Cancer Institute (Australia)
  • Rachel Bowen-Jones

    Honours student, Children’s Cancer Institute (Australia)
  • Kamile Taouk

    Bioinformatics Research Assistant, Children’s Cancer Institute (Australia)
  • Macabe Daley

    Bioinformatics Research Assistant, Children’s Cancer Institute (Australia)
  • Samantha Sandelowski

    Honours student, Children’s Cancer Institute (Australia)
  • Liam Howell

    Honours student, Children’s Cancer Institute (Australia)