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Bioinformatics with Python Cookbook /
If you are either a computational biologist or a Python programmer, you will probably relate to the expression "explosive growth, exciting times". Python is arguably the main programming language for big data, and the deluge of data in biology, mostly from genomics and proteomics, makes bi...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Publishing,
2015.
|
| Colección: | Quick answers to common problems.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Antao, Tiago, |e author. | |
| 245 | 1 | 0 | |a Bioinformatics with Python Cookbook / |c Tiago Antao. |
| 246 | 3 | 0 | |a Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology |
| 264 | 1 | |a Birmingham, UK : |b Packt Publishing, |c 2015. | |
| 264 | 4 | |c Ã2015 | |
| 300 | |a 1 online resource (x, 286 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Quick answers to common problems | |
| 520 | |a If you are either a computational biologist or a Python programmer, you will probably relate to the expression "explosive growth, exciting times". Python is arguably the main programming language for big data, and the deluge of data in biology, mostly from genomics and proteomics, makes bioinformatics one of the most exciting fields in data science. Using the hands-on recipes in this book, you'll be able to do practical research and analysis in computational biology with Python. We cover modern, next-generation sequencing libraries and explore real-world examples on how to handle real data. The main focus of the book is the practical application of bioinformatics, but we also cover modern programming techniques and frameworks to deal with the ever increasing deluge of bioinformatics data. | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Python and the surrounding software ecology -- Next-generation sequencing -- Working with genomes -- Population genetics -- Population genetics simulation -- Phylogenetics -- Using the Protein Data Bank -- Other topics in bioinformatics -- Python for big genomics datasets. | |
| 588 | 0 | |a Print version record. | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Bioinformatics. | |
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a Computational biology. | |
| 650 | 6 | |a Bio-informatique. | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 7 | |a COMPUTERS |x Bioinformatics. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Programming Languages |x Python. |2 bisacsh | |
| 650 | 7 | |a Computational biology. |2 fast |0 (OCoLC)fst00871990 | |
| 650 | 7 | |a Bioinformatics. |2 fast |0 (OCoLC)fst00832181 | |
| 650 | 7 | |a Python (Computer program language) |2 fast |0 (OCoLC)fst01084736 | |
| 776 | 0 | 8 | |i Print version: |a Antao, Tiago. |t Bioinformatics with python cookbook. |d Birmingham, U.K. : Packt Publishing Ltd., [2015] |z 1782175113 |w (OCoLC)913442488 |
| 830 | 0 | |a Quick answers to common problems. | |
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