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Advances in Bioinformatics and Computational Biology : 12th Brazilian Symposium on Bioinformatics, BSB 2019, Fortaleza, Brazil, October 7-10, 2019, Revised Selected Papers / edited by Luis Kowada, Daniel de Oliveira.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Kowada, Luis, Editor.
Oliveira, Daniel de (Professor of computer science), Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Lecture notes in computer science. Lecture notes in bioinformatics 2366-6331 ; 11347
Lecture Notes in Bioinformatics, 2366-6331 ; 11347
Language:
English
Subjects (All):
Bioinformatics.
Computer networks.
Social sciences-Data processing.
Application software.
Machine learning.
Software engineering.
Computational and Systems Biology.
Computer Communication Networks.
Computer Application in Social and Behavioral Sciences.
Computer and Information Systems Applications.
Machine Learning.
Software Engineering.
Local Subjects:
Computational and Systems Biology.
Computer Communication Networks.
Computer Application in Social and Behavioral Sciences.
Computer and Information Systems Applications.
Machine Learning.
Software Engineering.
Physical Description:
1 online resource (X, 129 pages) : 40 illustrations, 29 illustrations in color.
Edition:
1st ed. 2020.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2020.
System Details:
text file PDF
Summary:
This book constitutes the refereed proceedings of the Brazilian Symposium on Bioinformatics, BSB 2019, held in Fortaleza, Brazil in October 2019. The 9 revised full papers and 3 short papers were carefully reviewed and selected from 22 submissions. The papers address a broad range of current topics in computational biology and bioinformatics.
Contents:
Bioinformatics. - Computational biology
Computational genomics
Population genetics
Recognition of genes and regulatory elements
Computational proteomics
Molecular sequence analysis
Health informatics
Machine learning.
Other Format:
Printed edition:
ISBN:
978-3-030-46417-2
9783030464172
Access Restriction:
Restricted for use by site license.

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