Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11347)
Part of the book sub series: Lecture Notes in Bioinformatics (LNBI)
Conference series link(s): BSB: Brazilian Symposium on Bioinformatics
Conference proceedings info: BSB 2019.
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Table of contents (12 papers)
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Front Matter
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Full Papers
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Front Matter
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Back Matter
About this book
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.
Keywords
- artificial intelligence
- bioinformatics
- classification
- clustering algorithms
- computer networks
- computer science
- computer security
- computer systems
- correlation analysis
- data mining
- databases
- decision trees
- education
- internet
- learning
- machine learning
- mathematics
- network protocols
- software design
- software engineering
Editors and Affiliations
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Fluminense Federal University, Niterói, Brazil
Luis Kowada, Daniel de Oliveira
Bibliographic Information
Book Title: Advances in Bioinformatics and Computational Biology
Book Subtitle: 12th Brazilian Symposium on Bioinformatics, BSB 2019, Fortaleza, Brazil, October 7–10, 2019, Revised Selected Papers
Editors: Luis Kowada, Daniel de Oliveira
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-46417-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-46416-5Published: 29 April 2020
eBook ISBN: 978-3-030-46417-2Published: 28 April 2020
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 129
Number of Illustrations: 11 b/w illustrations, 29 illustrations in colour
Topics: Computational Biology/Bioinformatics, Computer Communication Networks, Computer Appl. in Social and Behavioral Sciences, Information Systems Applications (incl. Internet), Machine Learning, Software Engineering