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Python for bioinformatics/ Jason Kinser.

By: Material type: TextTextSeries: Jones and Bartlett series in biomedical informaticsPublication details: Boston : Jones and Bartlett pub., c2009.Description: xvii, 417 p. : illustrations ; 26 cmISBN:
  • 9780763751869
Subject(s): DDC classification:
  • 572.802855133 23 K56
Contents:
1. Introduction-- 2. NumPy and SciPy -- 3. Image manipulation -- 4. The Akando and Dancer modules -- 5. Statistics -- 6. Parsing DNA data files -- 7. Sequence alignment -- 8. Dyanmic programming -- 9. Tandem repeats -- 10. Hidden Markov models -- 11. Genetic algorithms -- 12. Multiple sequence alignment -- 13. Gapped alignments -- 14. Trees -- 15. Text mining -- 16. Measuring complexity -- 17. Clustering -- 18. Self-organizing maps -- 19. Principal component analysis -- 20. Species identification -- 21. Fourier transforms -- 22. Correlations -- 23. Numerical sequence alignment -- 24. Gene expression array files -- 25. Spot finding and measurement -- 26. Spreadsheet arrays and data displays -- 27. Applications with expression arrays-- Index.
Summary: Python for Bioinformatics provides a clear introduction to the Python programming language and instructs beginners on the development of simple programming exercises . Ideal for those with some knowledge of computer programming languages, this book emphasizes Python syntax and methodologies.
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Holdings
Item type Current library Call number Status Notes Date due Barcode Item holds
Books ISI Library, Kolkata 572.802855133 K56 (Browse shelf(Opens below)) Available Gifted by Prof Sankar Kumar Pal (CSCR) C27110
Books ISI Library, Kolkata 572.802855133 K56 (Browse shelf(Opens below)) Available PC3442
Total holds: 0

Includes index.

1. Introduction--
2. NumPy and SciPy --
3. Image manipulation --
4. The Akando and Dancer modules --
5. Statistics --
6. Parsing DNA data files --
7. Sequence alignment --
8. Dyanmic programming --
9. Tandem repeats --
10. Hidden Markov models --
11. Genetic algorithms --
12. Multiple sequence alignment --
13. Gapped alignments --
14. Trees --
15. Text mining --
16. Measuring complexity --
17. Clustering --
18. Self-organizing maps --
19. Principal component analysis --
20. Species identification --
21. Fourier transforms --
22. Correlations --
23. Numerical sequence alignment --
24. Gene expression array files --
25. Spot finding and measurement --
26. Spreadsheet arrays and data displays --
27. Applications with expression arrays--
Index.

Python for Bioinformatics provides a clear introduction to the Python programming language and instructs beginners on the development of simple programming exercises . Ideal for those with some knowledge of computer programming languages, this book emphasizes Python syntax and methodologies.

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