| 000 | 03212cam a2200361 i 4500 | ||
|---|---|---|---|
| 003 | CUTN | ||
| 005 | 20240620162236.0 | ||
| 008 | 170421s2018 flu b 001 0 eng | ||
| 020 | _a9781138035263 (pbk. : alk. paper) | ||
| 020 | _a9781138094376 (hardback : alk. paper) | ||
| 020 | _z9781315268743 (ebook) | ||
| 020 | _z9781351976961 (ebook) | ||
| 020 | _z9781351976954 (ebook) | ||
| 020 | _z9781351976947 (ebook) | ||
| 041 | _aEnglish | ||
| 042 | _apcc | ||
| 082 | 0 | 0 |
_a570.285 _223 _bBAS |
| 100 | 1 | _aBassi, Sebastian, | |
| 100 | 1 | _eauthor. | |
| 245 | 1 | 0 |
_aPython for bioinformatics / _cSebastian Bassi. |
| 250 | _aSecond edition. | ||
| 260 |
_aTaylor & Francis Group, Boca Raton, FL : _bCRC Press, _c2018. |
||
| 300 |
_axxix, 420 pages ; _c26 cm. |
||
| 490 | 0 | _aChapman & Hall/CRC mathematical and computational biology | |
| 504 | _aIncludes bibliographical references and index. | ||
| 505 | _t Section 1. Programming. Chapter 1. Introduction Chapter 2. First steps with Python Chapter 3. Basic programming: Data types Chapter 4. Programming: Flow control Chapter 5. Handling files Chapter 6. Code modularizing Chapter 7. Error handling Chapter 8. Introduction to object-oriented programming (OOP) Chapter 9. Introduction to Biopython Section 2. Advanced topics. Chapter 10. Web applications Chapter 11. XML Chapter 12. Python and databases Chapter 13. Regular expressions Chapter 14. Graphics in Python Section 3. Python recipes with commented source code. Chapter 15. Sequence manipulation in batch Chapter 16. Web application for filtering vector contamination Chapter 17. Searching for PCR primers using Primer3 Chapter 18. Calculating melting temperature from a set of primers Chapter 19. Filtering out specific fields from a GenBank file Chapter 20. Inferring splicing sites Chapter 21. Web server for multiple alignment Chapter 22. Drawing marker positions using data stored in a database Section 4. Appendices. Appendix A. Collaborative development version control with GitHub Appendix B. Install a bottle app in PythonAnywhere Appendix C. Scientific Python cheat sheet | ||
| 520 | _a"In today's data driven biology, programming knowledge is essential in turning ideas into testable hypothesis. Based on the author's extensive experience, Python for Bioinformatics, Second Edition helps biologists get to grips with the basics of software development. Requiring no prior knowledge of programming-related concepts, the book focuses on the easy-to-use, yet powerful, Python computer language. This new edition is updated throughout to Python 3 and is designed not just to help scientists master the basics, but to do more in less time and in a reproducible way. New developments added in this edition include NoSQL databases, the Anaconda Python distribution, graphical libraries like Bokeh, and the use of Github for collaborative development."--Provided by publisher | ||
| 650 | 0 | _aBioinformatics. | |
| 650 | 0 | _aPython (Computer program language) | |
| 906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
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| 942 |
_2ddc _cBOOKS |
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| 999 |
_c43102 _d43102 |
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