Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10330)
Part of the book sub series: Lecture Notes in Bioinformatics (LNBI)
Conference series link(s): ISBRA: International Symposium on Bioinformatics Research and Applications
Conference proceedings info: ISBRA 2017.
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Table of contents (46 papers)
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Front Matter
About this book
The 27 full papers presented together with 18 short papers and 24 invited abstracts were carefully reviewed and selected from 131 submissions. They cover topics such as: biomarker discovery; biomedical databases and data integration; biomedical text mining and ortologies; biomolecular imaging; comparative genomics; computational genetic epidemiology; computational proteomics; data mining and visualization; gene expression analysis; genome analysis; high-performance bio-computing; metagenomics; molecular evolution; molecular modelling and simulation; next-generation sequencing data analysis; pattern discovery and classification; population genetics; software tools and applications; structural biology; and systems biology.
Editors and Affiliations
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Georgia State University, Atlanta, USA
Zhipeng Cai
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University of Texas at Dallas, Richardson, USA
Ovidiu Daescu
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Central South University, Changsha, China
Min Li
Bibliographic Information
Book Title: Bioinformatics Research and Applications
Book Subtitle: 13th International Symposium, ISBRA 2017, Honolulu, HI, USA, May 29 – June 2, 2017, Proceedings
Editors: Zhipeng Cai, Ovidiu Daescu, Min Li
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-59575-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2017
Softcover ISBN: 978-3-319-59574-0Published: 31 May 2017
eBook ISBN: 978-3-319-59575-7Published: 29 May 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: LXVIII, 433
Number of Illustrations: 141 b/w illustrations
Topics: Computational Biology/Bioinformatics, Mathematical and Computational Biology, Data Mining and Knowledge Discovery, Pattern Recognition, Computer Appl. in Life Sciences