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Bioinformatics Algorithms: Design and Implementation in Python

Bioinformatics Algorithms: Design and Implementation in Python

by PedroG.Ferreira (Author), Miguel Rocha (Author), Miguel Rocha (Author), Pedro G. Ferreira (Author)

  • New

    Paperback 2018

    $96.98
Synopsis

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.

$96.98

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20+ in stock

More Information

Format: Paperback
 Pages: 400
 Publisher: Academic Press
Published: 12 Jun 2018
ISBN 10: 0128125209
ISBN 13: 9780128125205

Author Bio
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.