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Bioinformatic Algorithms

By: Material type: TextTextPublication details: Academic Press [Imprint] 2018Description: 388 pISBN:
  • 9780128125205
DDC classification:
  • 572.80285
eBook - Engineering 2018 [EBCE18]Summary: Annotation 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 programmingBased on over 12 years of pedagogical materials used by the authors in their own classroomsFeatures a companion website with downloadable codes and runnable examples (such as using Jupyter Notebooks) and exercises relating to the book
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Item type Current library Call number Status Barcode
Book Book Air University's Aerospace and Aviation Campus Kamra 572.80285 ROC (Browse shelf(Opens below)) Available AUKP3233

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Annotation 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 programmingBased on over 12 years of pedagogical materials used by the authors in their own classroomsFeatures a companion website with downloadable codes and runnable examples (such as using Jupyter Notebooks) and exercises relating to the book

Scholarly & Professional Elsevier Science & Technology Books

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