Bioinformatics Algorithms
Design and Implementation in Python
- 1st Edition - June 8, 2018
- Authors: Miguel Rocha, Pedro G. Ferreira
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 2 5 2 0 - 5
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 2 5 2 1 - 2
Bioinformatics Algorithms: Design and Implementation in Python provides a comprehensive book on many of the most important bioinformatics problems, putting forward the best algo… Read more
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Request a sales quoteBioinformatics 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
Bioinformatics and Computational Biology researchers, biomedical engineers, as well as undergrad and postgraduate students in Bioinformatics and Computational Biology
- No. of pages: 400
- Language: English
- Edition: 1
- Published: June 8, 2018
- Imprint: Academic Press
- Paperback ISBN: 9780128125205
- eBook ISBN: 9780128125212
MR
Miguel Rocha
teaches in the Informatics Department and has a senior researcher position in the Centre
of Biological Engineering. He is the Director and founder of the Master in Bioinformatics
since 2007, teaching and coordinating curricular units related to Bioinformatics algorithms
and tools, data analysis and machine learning. His research is mainly devoted to
Bioinformatics subjects, including the development of tools and algorithms for metabolic
modelling andomics data analysis.
PF