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  • 3 - No-Boundary Thinking in Undergraduate Bioinformatics Education

  • Edited by Xiuzhen Huang, Cedars-Sinai Medical Center, Los Angeles, Jason H. Moore, Cedars-Sinai Medical Center, Los Angeles, Yu Zhang, Trinity University, Texas
  • Book:
    Integrative Bioinformatics for Biomedical Big Data
    Published online:
    14 September 2023
    Print publication:
    28 September 2023, pp 25-44

  • Summary

    Bioinformatics is one of the fastest growing fields in the twenty-first century. Over the last few decades, studies of biology have moved from low-throughput hands-on experiments to computational analyses of the increasingly complex tree of life. Alongside this change are multiple challenges. The first challenge exists in interdisciplinary collaboration. The current interdisciplinary collaboration model is still bounded by individual disciplines and is far from seamless. The second challenge is big data. How to extract the useful data from the haystack of big data? The third challenge is human infrastructure. We need to educate the next generation of scientists as early as possible to solve the interdisciplinary and complex biology problems with computational resources. To address these challenges, we propose a No-Boundary Thinking approach to teach the next generation of scientists. To explain it, we present three No-Boundary Thinking teaching and research models. All of them are embedded into undergraduate computer science curriculums.