Cantitate/Preț
Produs
Total produse
Vezi coșul
Python Programming for Biology: Bioinformatics and Beyond de Tim J. Stevens

Python Programming for Biology: Bioinformatics and Beyond

Autor Tim J. Stevens, Wayne Boucher
en Limba Engleză Paperback – 11 feb 2015

Observăm că Python Programming for Biology se poziționează ca o resursă tehnică exhaustivă, acoperind nu doar sintaxa limbajului Python, ci și aplicații avansate de procesare a imaginilor, statistică și machine learning. Într-un domeniu în care datele biologice devin tot mai complexe, această lucrare publicată de Cambridge University Press oferă fundamentul necesar pentru a transforma întrebările de cercetare în soluții computaționale concrete. Remarcăm structura progresivă a celor peste 700 de pagini: autorii încep cu un curs de bază pentru cei fără experiență în programare, trec prin jargonul informatic esențial și ajung la implementări practice de algoritmi bioinformatici.

Abordarea autorilor Tim J. Stevens și Wayne Boucher diferă de cea din Computing for Biologists prin gradul de detaliere a instrumentelor de calcul științific. În timp ce volumul lui Ran Libeskind-Hadas se concentrează pe concepte algoritmice fundamentale legate de întrebări biologice specifice, lucrarea de față este mai puțin abstractă și mai mult aplicabilă în fluxurile de lucru zilnice ale unui laborator modern. Merită menționat că textul funcționează și ca un manual de referință pentru limbajul Python, oferind exemple de cod gata de utilizat pentru analiza secvențelor sau interpretarea datelor experimentale. Prezența ilustrațiilor color și a tabelelor tehnice facilitează înțelegerea unor concepte dificile precum analiza statistică a sistemelor biologice complexe. Este o resursă care elimină bariera dintre biologia experimentală și bioinformatica aplicată, oferind cercetătorilor autonomia necesară pentru a-și scrie propriile programe fără a depinde exclusiv de software-uri preinstalate.

Citește tot Restrânge

Preț: 45563 lei

Preț vechi: 56954 lei
-20%

Puncte Express: 683
Paperback 45563 lei
Hardback 84056 lei

Carte tipărită la comandă

Livrare economică 09-23 iunie

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9780521720090
ISBN-10: 0521720095
Pagini: 711
Ilustrații: 91 b/w illus. 11 colour illus. 3 tables
Dimensiuni: 176 x 247 x 33 mm
Greutate: 1.38 kg
Editura: Cambridge University Press
Colecția Cambridge University Press
Locul publicării:Cambridge, United Kingdom

De ce să citești această carte

Recomandăm această carte cercetătorilor și studenților din științele vieții care doresc să treacă de la utilizarea unor unelte software limitate la crearea propriilor soluții de analiză. Prin parcurgerea acestui ghid, veți dobândi abilități practice în Python, de la manipularea datelor genomice până la tehnici de machine learning, toate explicate într-un limbaj accesibil, adaptat nevoilor specifice din laborator.

Despre autor

Tim J. Stevens și Wayne Boucher sunt cercetători cu o vastă experiență în domeniul biologiei computaționale, activând în cadrul unor instituții de prestigiu precum Universitatea din Cambridge. Tim J. Stevens este recunoscut pentru contribuțiile sale în dezvoltarea de software pentru rezonanța magnetică nucleară (RMN) și analiza structurilor macromoleculare. Wayne Boucher are un parcurs solid în fizică și matematică aplicată, expertiza sa fiind crucială în dezvoltarea algoritmilor utilizați în analiza datelor biologice complexe. Împreună, aceștia au creat instrumente esențiale pentru comunitatea științifică, experiența lor practică reflectându-se în claritatea și rigoarea tehnică a exemplelor de programare oferite în lucrarea de față.

Descriere scurtă

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 sciences how to program with Python, a powerful, flexible and easy-to-use language.

Cuprins

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.

Recenzii

'As a long-time advocate of Python as the language of choice for both the bulk of biological data analysis and for teaching computer programming to molecular life scientists, I am delighted to see this book. [It] provides a well-focused introduction to Python programming but then goes on to use the clarity of the Python language to demystify a wide range of commonly applied data processing and analysis techniques that arise in modern cell and molecular biology. The integration of straightforward introductions to sequence analysis, image processing and statistical analysis (amongst others) into a book on Python is inspired. The clarity of the Python language helps to show that often 'yes it really is that simple', in a way that staring at a mathematical expression often fails to, and the programming element allows the reader to become actively involved.' Jeremy Craven, University of Sheffield
'Python Programming for Biology is an excellent introduction to the challenges that biologists and biophysicists face. The choice of Python is appropriate; we use it in most research in our laboratories at the interface between biology, biochemistry and bioinformatics. The book takes us through programming principles for a beginner with a biological background, introducing the basics. It has useful tips for improving code and some specific examples, for example in sequence analysis, macromolecular structures, image processing and databases. I was pleased to see that there is a substantive section on machine learning which in the era of 'big data' is becoming central to much of the software developed for biomedical and agri-biotech research.' Tom Blundell, University of Cambridge
'Stevens and Boucher tear down barriers to programming and bioinformatics, for biologists and medics alike … this is the book that I wish I could have read years ago. Serving as both a straightforward tutorial and plain-English reference, the key programming, biology and bioinformatics concepts necessary to build programs for practical, real-world applications are explained in a logical and easy-to-follow order, helping the reader to get from zero to results faster. Unlike many programming books and resources, information is presented in the right amount of detail and jargon is demystified, giving a gentle but thorough and practical introduction to programming with Python, while providing useful tips and encouraging good practices. This introduction is built on with 'from the ground up' explanations of basic, intermediate and advanced computational biology methodologies through Python implementations, resulting in a well-rounded text for programming to solve biological challenges.' Harry Jubb, University of Cambridge
'As an increasingly valuable and important skill, programming can be daunting for those new to it. Python Programming for Biology provides the perfect introduction into the world of coding. Stevens and Boucher gently guide the reader through the basics and into practical examples that will aid the reader into incorporating Python into their research activities. I would not hesitate to recommend it as a valuable teaching aide or to people keen to expand their horizons into bioinformatics.' David Ascher, University of Cambridge
'Python has become a programming and scripting language of utmost importance in scientific computing, in particular in biology. Major, widely used software packages make use of Python, and libraries offering powerful functionalities are available. Many if not most research projects in biology benefit from computational techniques. Although it is incredibly simple to write small scripts in Python, for a novice in programming, the first steps may seem daunting. In contrast to many other books on Python, this book is specifically aimed at an audience that has little or no experience with programming. After a step-by-step introduction to programming in Python, it describes concrete examples from different areas in biology, with code examples from data analysis to modelling. [It] is a highly valuable addition to the literature on Python, and recommended to any biologist who is interested in using computers in his research.' Michael Nilges, Institut Pasteur, France
'[Stevens and Boucher's] understanding of the needs of the target audience for this book (primarily bench scientists with minimal programming experience) is complete. They have accurately customized the book, to meet those specific requirements which are so distinct from those of students aspiring to be specialist programmers. They have achieved this difficult objective without 'dumbing down' the content or omitting any relevant aspect of Python. The book provides an easy and comprehensive introduction for the complete novice as well as offering plenty to engage the more experienced reader. This work is exactly what is required for us to build new training events upon.' David Judge, University of Cambridge

Descriere

This book introduces Python as a powerful tool for the investigation of problems in computational biology, for novices and experienced programmers alike.