Chung Kok


  • 677 Citations
  • 12 h-Index
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Personal profile

Public Profile

I am a bioinformatician and postdoctoral researcher under the supervision of Professor Timothy Hughes. Additionally, I am holding an honorary title of affiliate senior lecturer from the School of Medicine at the University of Adelaide. I have the expertise in both molecular cancer biology and bioinformatics, these skills have allowed me to establish and collaborate on many research projects involving biology and bioinformatics with clinical researchers, biologists and computer scientists both nationally and internationally. With these skillsets, I am currently leading a biomarker project to predict poor long-term clinical outcome of chronic myeloid leukaemia patient at the time of diagnosis using machine learning algorithms. Moreover, I currently contribute my intellectual input and/or supervision to junior staff members, and research students enrolled through the School of Medicine at the University of Adelaide, regarding methods on molecular biology, as well as analysing next-generation sequencing data using high-performance computing, Unix/bash script, python and R programming languages. As part of my role, I am developing and testing pipelines and new algorithms for analysing next-generation sequencing. To do this, I use R programming for genomic data science works such as data import, data cleaning, statistical analysis, machine learning analysis and data visualisation. Thus, I have extensive experiences with R in analysing high-throughput microarray and genomic sequencing data sets of varying sizes and complexity. I also have some experiences in Unix/bash, C++, and Python programming. Some of these works have been presented orally at prestigious international conferences. In support of having my expertise recognised, my inputs to these projects have led to co-authorships of more than 30 peer-reviewed scientific papers and over 75 conference abstracts. I am also an active member of the internationally prestigious American Society of Hematology (ASH) and European Hematology Association (EHA).  My key area interests are biomarkers, big data, bioinformatics, genomics, transcriptomics, epigenomics, next-generation sequencing, microarray, machine learning, statistical analysis, programming, personalised medicine, translational medicine, and innovative medicine. 

External positions

Senior lecturer, University of Adelaide

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Research Output 2006 2019

  • 677 Citations
  • 12 h-Index
  • 24 Article
  • 9 Letter

Gene expression signature that predicts early molecular response failure in chronic-phase CML patients on frontline imatinib

Kok, C., Yeung, D., Lu, L., Watkins, D. B., Gray, T., Dang, Y., Saunders, V., Reynolds, J., White, D. & Hughes, T., 28 May 2019, In : Blood Advances. 3, 10, p. 1610-1621 12 p.

Research output: Contribution to journalArticle

Co-fuse: a new class discovery analysis tool to identify and prioritize recurrent fusion genes from RNA-sequencing data

Paisitkriangkrai, S., Quek, K., Nievergall, E., Jabbour, A., Zannettino, A. & Kok, C., 1 Oct 2018, In : Molecular Genetics and Genomics. 293, 5, p. 1217-1229 13 p.

Research output: Contribution to journalArticle

4 Citations (Scopus)

Long-term treatment-free remission of chronic myeloid leukemia with falling levels of residual leukemic cells

on behalf of the Australasian Leukaemia and Lymphoma Group (ALLG), 1 Dec 2018, In : Leukemia. 32, 12, p. 2572-2579 8 p.

Research output: Contribution to journalArticle

2 Citations (Scopus)

Modelling ponatinib resistance in tyrosine kinase inhibitor-naïve and dasatinib resistant BCR-ABL1+ cell lines

Lu, L., Kok, C. H., Saunders, V. A., Wang, J., McLean, J. A., Hughes, T. & White, D. L., 1 Oct 2018, In : Oncotarget. 9, 78, p. 34735-34747 13 p.

Research output: Contribution to journalArticle

Pre-B acute lymphoblastic leukaemia recurrent fusion, EP300-ZNF384, is associated with a distinct gene expression

McClure, B., Heatley, S., Kok, C., Sadras, T., An, J., Hughes, T., Lock, R. B., Yeung, D., Sutton, R. & White, D., 1 Apr 2018, In : British Journal of Cancer. 118, 7, p. 1000-1004 5 p.

Research output: Contribution to journalArticle