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Introduces fundamental computational ideas and concepts in a biological context, with real-world examples and exercises in Python.
List of contents
Introduction; Part I. Programming in Python: 1. Crash introduction to python; 2. Efficiency matters - gentle intro to complexity; Part II. Sequences: 3. Sets dictionaries and hashing; 4. Regular expressions and biological patterns; Part III. Networks: 5. Basic notions in graph theory; 6. Shortest paths and breadth first search; 7. Simulation of regulatory networks; Part IV. Images: 8. Digital images representation; 9. Image processing; Part V. Limitations of Computing: 10. Mission impossible; 11. Mission infeasible; Index.
About the author
Benny Chor was a Professor in Computer Science (CS) at Tel-Aviv University, Israel, and head of the School of Computer Science at Tel-Aviv University between 2018 and 2020. His research interests spanned over computational biology, cryptography, and CS and math education, and he was renowned for his excellence in teaching. Benny passed away in June 2021.Amir Rubinstein is a lecturer in Computer Science at Tel-Aviv University, Israel. His activity surrounds computer science education, and innovation and research in teaching and learning CS. He has received numerous awards for outstanding teaching.
Summary
Aimed at life science students, and of interest to academic researchers, this book bridges the gap between the biological and computational sciences. It explains fundamental computational concepts and contains real-world examples focused on developing algorithmic and logical thinking skills.
Foreword
Introduces fundamental computational ideas and concepts in a biological context, with real-world examples and exercises in Python.
