Bioinformatics Algorithms: Design and Implementation in Python
Autor Miguel Rocha, Pedro G. Ferreiraen Limba Engleză Paperback – 11 iun 2018
- 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
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
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