Python Programming for Biology
Bioinformatics and Beyond
(Sprache: Englisch)
This book introduces Python as a powerful tool for the investigation of problems in computational biology, for novices and experienced programmers alike.
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Produktinformationen zu „Python Programming for Biology “
This book introduces Python as a powerful tool for the investigation of problems in computational biology, for novices and experienced programmers alike.
Klappentext zu „Python Programming for Biology “
Do you have a biological question that could be readily answered by computational techniques, but little experience in programming? Do you want to learn more about the core techniques used in computational biology and bioinformatics? Written in an accessible style, this guide provides a foundation for both newcomers to computer programming and those interested in learning more about computational biology. The chapters guide the reader through: a complete beginners' course to programming in Python, with an introduction to computing jargon; descriptions of core bioinformatics methods with working Python examples; scientific computing techniques, including image analysis, statistics and machine learning. This book also functions as a language reference written in straightforward English, covering the most common Python language elements and a glossary of computing and biological terms. This title will teach undergraduates, postgraduates and professionals working in the life scienceshow to program with Python, a powerful, flexible and easy-to-use language.
Inhaltsverzeichnis zu „Python Programming for Biology “
Preface; Acknowledgements; 1. Prologue; 2. Beginners' guide; 3. Python basics; 4. Program control and logic; 5. Functions; 6. Files; 7. Object orientation; 8. Object data modelling; 9. Mathematics; 10. Coding tips; 11. Biological sequences; 12. Pairwise sequence alignments; 13. Multiple sequence alignments; 14. Sequence variation and evolution; 15. Macromolecular structures; 16. Array data; 17. High-throughput sequence analyses; 18. Images; 19. Signal processing; 20. Databases; 21. Probability; 22. Statistics; 23. Clustering and discrimination; 24. Machine learning; 25. Hard problems; 26. Graphical interfaces; 27. Improving speed; Appendix 1: simplified language reference; Appendix 2: selected standard type methods and operations; Appendix 3: standard module highlights; Appendix 4: string formatting; Appendix 5: regular expressions; Appendix 6: further statistics; Glossary; Index.
Autoren-Porträt von Tim J. Stevens, Wayne Boucher
Tim Stevens is Senior Investigator Scientist at the MRC Laboratory of Molecular Biology in Cambridge. He researches single-cell 3D genome architecture and provides computational biology oversight, development and training within the Cell Biology Division.
Bibliographische Angaben
- Autoren: Tim J. Stevens , Wayne Boucher
- 711 Seiten, 11 farbige Abbildungen, Maße: 17 x 24,4 cm, Kartoniert (TB), Englisch
- Verlag: Cambridge University Press
- ISBN-10: 0521720095
- ISBN-13: 9780521720090
- Erscheinungsdatum: 05.11.2018
Sprache:
Englisch
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