Research in Computational Molecular Biology
23rd Annual International Conference, RECOMB 2019, Washington, DC, USA, May 5-8, 2019, Proceedings
Editors: Cowen, Lenore (Ed.)
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- About this book
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This book constitutes the proceedings of the 23rd Annual Conference on Research in Computational Molecular Biology, RECOMB 2019, held in Washington, DC, USA, in April 2019.
The 17 extended and 20 short abstracts presented were carefully reviewed and selected from 175 submissions. The short abstracts are included in the back matter of the volume. The papers report on original research in all areas of computational molecular biology and bioinformatics.
- Table of contents (17 chapters)
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An Efficient, Scalable and Exact Representation of High-Dimensional Color Information Enabled via de Bruijn Graph Search
Pages 1-18
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Identifying Clinical Terms in Free-Text Notes Using Ontology-Guided Machine Learning
Pages 19-34
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ModHMM: A Modular Supra-Bayesian Genome Segmentation Method
Pages 35-50
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Learning Robust Multi-label Sample Specific Distances for Identifying HIV-1 Drug Resistance
Pages 51-67
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MethCP: Differentially Methylated Region Detection with Change Point Models
Pages 68-84
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Table of contents (17 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Research in Computational Molecular Biology
- Book Subtitle
- 23rd Annual International Conference, RECOMB 2019, Washington, DC, USA, May 5-8, 2019, Proceedings
- Editors
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- Lenore Cowen
- Series Title
- Lecture Notes in Bioinformatics
- Series Volume
- 11467
- Copyright
- 2019
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-17083-7
- DOI
- 10.1007/978-3-030-17083-7
- Softcover ISBN
- 978-3-030-17082-0
- Edition Number
- 1
- Number of Pages
- XIV, 337
- Number of Illustrations
- 79 b/w illustrations, 67 illustrations in colour
- Topics
