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Bioinformatics Algorithms: Design and Implementation in Python

Autor Miguel Rocha, Pedro G. Ferreira
en Limba Engleză Paperback – 11 iun 2018
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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Specificații

ISBN-13: 9780128125205
ISBN-10: 0128125209
Pagini: 400
Dimensiuni: 191 x 235 x 25 mm
Greutate: 0.69 kg
Editura: ELSEVIER SCIENCE

Public țintă

Bioinformatics and Computational Biology researchers, biomedical engineers, as well as undergrad and post-graduate students in Bioinformatics and Computational Biology.

Cuprins

Part I: Bioinformatics Basics1. Introduction2. Relevant Biological Concepts3. Algorithms and Python: Introduction4. Optimization: Basic Concepts and Algorithms
Part II: Sequence Analysis Algorithms5. Basic Processing of DNA Sequences: Transcription and Translation6. Finding Patterns in Sequences7. Pairwise Sequence Alignment8. Searching Similar Sequences in Databases9. Multiple Sequence Alignment10. Phylogenetic Analysis11. Motif Discovery12. Hidden Markov Models13. Stochastic Algorithms
Part III: Graph and Large-Scale Sequencing Data Processing14. Graphs15. Biological Networks16. Assembling Reads into Genomes17. Matching Reads to Reference Sequences
Part IV: Conclusions18. Further Reading and Resources19. Final Words
Appendix: Python Reference Functions