Tan Tze King

Postdoctoral Research Fellow at Cancer Science Institute of Singapore
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Contact Information
us****@****om
(386) 825-5501
Location
Singapore, SG
Languages
  • English Professional working proficiency
  • Chinese (Simplified) Native or bilingual proficiency
  • Chinese (Traditional) Native or bilingual proficiency
  • Malay Limited working proficiency

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Credentials

  • First Class Honor Bachelor of Science (HONS) Bioinformatics
    Multimedia University
    Jul, 2013
    - Nov, 2024
  • Best Presentor Award in TMBER 2015 Bangkok Conference
    Global Illuminators

Experience

  • Cancer Science Institute of Singapore
    • Singapore
    • Research Services
    • 1 - 100 Employee
    • Postdoctoral Research Fellow
      • May 2017 - Present

      Post-doc research fellow with excellent publications track record.https://scholar.google.com/citations?hl=en&user=M1WL1bIAAAAJ

  • University of Malaya
    • Education Management
    • 700 & Above Employee
    • Ph.D. Candidate
      • Oct 2013 - Nov 2016

      Over the past three years, I worked with some unique mammals namely the Malayan pangolin and Chinese pangolin to study their genomic and transcriptomic. These pangolins species are under critical endangered stated by IUCN Red List and are extremely hard to maintain in captivity most probably due to their poor immunity. Their unique physical characteristics had raised my research interest to understand how their pseudogenes (gene loss function to produce functional protein) affected their evolution resulting in their poor immunity and toothless traits. My study grants me exclusive experience on eukaryotic comparative genomes annotation, gene expression profiling, pseudogene study, familiar with gene family expansion and contraction research and animal natural selection study. I have gained extensive experience working with different programming languages and bioinformatics tools during my Ph.D. I had even developed my own database to store pangolins’ DNA and RNA data on a publicly available website. This database collects all annotations and analyses results from International Pangolin Research Consortium (IPaRC) on purpose to provide a research platform for all researchers that are interested in pangolin genomic study.

    • Bright Sparks Ph.D. Resarch Scholar
      • Nov 2013 - Oct 2016

      Comparative genomics and transcriptomics of Pangolins:- Comparative study of pangolin genes with the Carnivora was carry out. - Gene family expansion and contraction analysis on pangolin genes.- Positive selection study of pangolin genes.- Pseudogene screening for pangolin genomes.- Age of pseudogenization study for pangolins genes reveal coevolution of pangolins scales formation.- Collaborating with well-known research groups from more than 10 universities and 6 countries works on high impact publication.Bacteria genome research (Vibrio, Mycobacterium and Burkholderia):- Bacteria genome sequencing and assembly using NGS technology.- Bacteria identification using phylogenetic approach (Maximum-Likelihood or Neighbor Joining algorithm) and ANI-AAI classification.- Bacteria characterization and annotation using RAST server for gene annotation.- Comparative tools integration into database for user instant comparative analysis.- Pathogenomics database (VFDB) integration for rapid pathogenomics profile screening of each bacteria strain.- Genomic Island and prophage study for bacteria insertional event study.Database development:- Supervised a team of bioinformatics M.S. and Ph.D. students.- Development of database required for massive analytical data produced during pangolins genome analysis. - Genome analysis tools (BLAST, BLAT, CAP3) integration.- Familiar with cluster computer and workstation for massive computational procedure.- JBrowse and UCSC genome browser integration allows smooth user experience in visualizing pangolin genomic data. - Developed a Pangolin Genome Database (PGD) at http://pangolin-genome.um.edu.my - Developed a database of Vibrio strains called VibrioBase at http://vibrio.um.edu.my

  • Genome Informatic Research Group (GIRG)
    • Bioinformatician
      • Sep 2013 - Jun 2016

      Comparative genome analysisPhylogenetic tree construction and analysisPseudogene analysisDatabase Design and DevelopmentPositive Selection StudyGene family analysisGenome browser integration

Education

  • University of Malaya
    Doctor of Philosophy (Ph.D.), Bioinformatics
    2013 - 2016
  • Multimedia University
    Bachelor of Science (B.S.), Bioinformatics
    2010 - 2013

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