Bioinformatics Algorithms: Design and Implementation in Python

Author:   Miguel Rocha (Associate Professor of Informatics and Senior Researcher, University of Minho, Portugal) ,  Professor Pedro G. Ferreira (Assistant Researcher, Ipatimup/i3S, Portugal)
Publisher:   Elsevier Science Publishing Co Inc
ISBN:  

9780128125205


Pages:   400
Publication Date:   12 June 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Bioinformatics Algorithms: Design and Implementation in Python


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Overview

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.

Full Product Details

Author:   Miguel Rocha (Associate Professor of Informatics and Senior Researcher, University of Minho, Portugal) ,  Professor Pedro G. Ferreira (Assistant Researcher, Ipatimup/i3S, Portugal)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Weight:   0.860kg
ISBN:  

9780128125205


ISBN 10:   0128125209
Pages:   400
Publication Date:   12 June 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Part I: Bioinformatics Basics 1. Introduction 2. Relevant Biological Concepts 3. Algorithms and Python: Introduction 4. Optimization: Basic Concepts and Algorithms Part II: Sequence Analysis Algorithms 5. Basic Processing of DNA Sequences: Transcription and Translation 6. Finding Patterns in Sequences 7. Pairwise Sequence Alignment 8. Searching Similar Sequences in Databases 9. Multiple Sequence Alignment 10. Phylogenetic Analysis 11. Motif Discovery 12. Hidden Markov Models 13. Stochastic Algorithms Part III: Graph and Large-Scale Sequencing Data Processing 14. Graphs 15. Biological Networks 16. Assembling Reads into Genomes 17. Matching Reads to Reference Sequences Part IV: Conclusions 18. Further Reading and Resources 19. Final Words Appendix: Python Reference Functions

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Author Information

Miguel Rocha is an Associate Professor at the University of Minho (Portugal), where heteaches in the Informatics Department and has a senior researcher position in the Centreof Biological Engineering. He is the Director and founder of the Master in Bioinformaticssince 2007, teaching and coordinating curricular units related to Bioinformatics algorithmsand tools, data analysis and machine learning. His research is mainly devoted toBioinformatics subjects, including the development of tools and algorithms for metabolicmodelling andomics data analysis. Pedro G. Ferreira is an Assistant Researcher at Ipatimup/i3S (Portugal), where he has an FCT Investigator Starting grant. He develops research on computational biology in particular in the fields of cancer and population genomics. He has collaborated with several research groups and has been involved in different international consortia including ICGC-CLL, GEUVADIS or GTEx. He has intensive training in Bioinformatics and experience in genomics start-up environment where he has developed information systems for personal genomics data interpretation.

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