Overview
- Includes supplementary material: sn.pub/extras
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10229)
Part of the book sub series: Lecture Notes in Bioinformatics (LNBI)
Included in the following conference series:
Conference proceedings info: RECOMB 2017.
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Table of contents (22 papers)
Other volumes
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Research in Computational Molecular Biology
Keywords
- algorithms
- bioinformatics
- computational biology
- machine learning
- systems biology
- active learning
- Bayesian network
- biological networks
- computational complexity
- computational genomics
- computational proteomics
- data structures
- estimation
- genome
- metagenome
- molecular biology
- phylogenetic tree
- rank queries
- regression models
- spectrum identification
About this book
The 22 regular papers presented in this volume were carefully reviewed and selected from 184 submissions. 16 short abstracts are included in the back matter of the volume. They report on original research in all areas of computational molecular biology and bioinformatics
Editors and Affiliations
Bibliographic Information
Book Title: Research in Computational Molecular Biology
Book Subtitle: 21st Annual International Conference, RECOMB 2017, Hong Kong, China, May 3-7, 2017, Proceedings
Editors: S. Cenk Sahinalp
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-56970-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-56969-7Published: 12 April 2017
eBook ISBN: 978-3-319-56970-3Published: 13 April 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 406
Number of Illustrations: 104 b/w illustrations
Topics: Computational Biology/Bioinformatics, Mathematical and Computational Biology, Artificial Intelligence, Image Processing and Computer Vision, Database Management
Industry Sectors: Biotechnology, IT & Software, Pharma