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Mining of data with complex structures / Fedja Hadaic, Henry Tan and Tharam S. Dillon

By: Contributor(s): Material type: TextTextPublication details: London : Springer. c2011.Description: xx, 326p. : ills. ; 28 cmISBN:
  • 9783642175572
  • 9783642175565
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 570.285 22 HAM
In: Springer eBooksSummary: This book constitutes the refereed proceedings of the 9th International Symposium on Bioinformatics Research and Applications, ISBRA 2013, held in Charlotte, NC, USA, in May 2013. The 25 revised full papers presented together with 4 invited talks were carefully reviewed and selected from 46 submissions. The papers cover a wide range of biomedical databases and data integration, high-performance bio-computing, biomolecular imaging, high-throughput sequencing data analysis, bio-ontologies, molecular evolution, comparative genomics and phylogenomics, molecular modeling and simulation, pattern discovery and classification, computational proteomics, population genetics, data mining and visualization, software tools and applications.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Books Books Library, Institute of Information and Communication Technology General Stacks 570.285 HAM (Browse shelf(Opens below)) 1 Available I000731
Books Books Library, Institute of Information and Communication Technology General Stacks 570.285 HAM (Browse shelf(Opens below)) 2 Available I000730

This book constitutes the refereed proceedings of the 9th International Symposium on Bioinformatics Research and Applications, ISBRA 2013, held in Charlotte, NC, USA, in May 2013. The 25 revised full papers presented together with 4 invited talks were carefully reviewed and selected from 46 submissions. The papers cover a wide range of biomedical databases and data integration, high-performance bio-computing, biomolecular imaging, high-throughput sequencing data analysis, bio-ontologies, molecular evolution, comparative genomics and phylogenomics, molecular modeling and simulation, pattern discovery and classification, computational proteomics, population genetics, data mining and visualization, software tools and applications.

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