Bioinformatics Algorithms: Design and Implementation in Python - Brossura

Rocha, Miguel

 
9780128125205: Bioinformatics Algorithms: Design and Implementation in Python
Brossura
ISBN 10: 0128125209 ISBN 13: 9780128125205
Casa editrice: Academic Press, 2018

Sinossi

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.

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Informazioni sugli autori

Miguel Rocha is an Associate Professor at the University of Minho (Portugal), where he

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.



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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Editore
Academic Press
Data di pubblicazione
2018
Lingua
Inglese
ISBN 10 
0128125209
ISBN 13 
9780128125205
Rilegatura
Copertina flessibile
Numero edizione
1
Numero di pagine
400
Contatto del produttore
non disponibile
Persona responsabile
non disponibile