Bioinformatics Algorithms: Design and Implementation in Python
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- 9780128125205
- 005.33 ROC-B
Item type | Current library | Home library | Call number | Status | Date due | Barcode | |
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Dept. of Computational Biology and Bioinformatics Processing Center | Dept. of Computational Biology and Bioinformatics | 005.33 ROC-B (Browse shelf(Opens below)) | Checked out to AKHILA S (97222606001) | 05/10/2023 | DCB3500 |
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005.3 GRA-G Google Apps Deciphered: Compute in the Cloud to Streamline Your Desktop | 005.3 MUF-O Open Source: A Multidisciplinary Approach | 005.3 WEB-S The Success of Open Source | 005.33 ROC-B Bioinformatics Algorithms: Design and Implementation in Python | 005.36 COU-D Distributed Systems Concepts and Design | 005.36 WEB-O Open Office -Org Writer | 005.362 ADL-R .PL R in a Nutshell: A Desktop Quick Reference |
Bioinformatics Algorithms: Design and Implementation in Python provides a comprehensive book on many of the most important bioinformatics problems, putting forward the best algorithms and showing how to implement them. The book focuses on the use of the Python programming language and its algorithms, which is quickly becoming the most popular language in the bioinformatics field. Readers will find the tools they need to improve their knowledge and skills with regard to algorithm development and implementation, and will also uncover prototypes of bioinformatics applications that demonstrate the main principles underlying real world applications. Presents an ideal text for bioinformatics students with little to no knowledge of computer programming Based on over 12 years of pedagogical materials used by the authors in their own classrooms Features a companion website with downloadable codes and runnable examples (such as using Jupyter Notebooks) and exercises relating to the book
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