Book contents
- Integrative Bioinformatics for Biomedical Big Data
- Integrative Bioinformatics for Biomedical Big Data
- Copyright page
- Dedication
- Contents
- Contributors
- 1No-Boundary Thinking
- 2Artificial Intelligence Approaches to No-Boundary Thinking
- 3No-Boundary Thinking in Undergraduate Bioinformatics Education
- 4No-Boundary Course Developments
- 5No-Boundary Thinking for Transcriptomics and Proteomics Big Data
- 6Pharmacogenomics
- 7The Ethical Status of an AI
- 8Computational Thinking and No-Boundary Thinking
- 9Carving Nature at the Joints: Which Joints?
- Index
- References
3 - No-Boundary Thinking in Undergraduate Bioinformatics Education
Published online by Cambridge University Press: 14 September 2023
Book contents
- Integrative Bioinformatics for Biomedical Big Data
- Integrative Bioinformatics for Biomedical Big Data
- Copyright page
- Dedication
- Contents
- Contributors
- 1No-Boundary Thinking
- 2Artificial Intelligence Approaches to No-Boundary Thinking
- 3No-Boundary Thinking in Undergraduate Bioinformatics Education
- 4No-Boundary Course Developments
- 5No-Boundary Thinking for Transcriptomics and Proteomics Big Data
- 6Pharmacogenomics
- 7The Ethical Status of an AI
- 8Computational Thinking and No-Boundary Thinking
- 9Carving Nature at the Joints: Which Joints?
- Index
- References
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.
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- Integrative Bioinformatics for Biomedical Big DataA No-Boundary Thinking Approach, pp. 25 - 44Publisher: Cambridge University PressPrint publication year: 2023
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