04407nam 22007455 450 991048317470332120231113125521.03-319-59575-X10.1007/978-3-319-59575-7(CKB)4340000000061551(DE-He213)978-3-319-59575-7(MiAaPQ)EBC6302889(MiAaPQ)EBC5591406(Au-PeEL)EBL5591406(OCoLC)1066194914(PPN)201471477(EXLCZ)99434000000006155120170530d2017 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierBioinformatics Research and Applications 13th International Symposium, ISBRA 2017, Honolulu, HI, USA, May 29 – June 2, 2017, Proceedings /edited by Zhipeng Cai, Ovidiu Daescu, Min Li1st ed. 2017.Cham :Springer International Publishing :Imprint: Springer,2017.1 online resource (LXVIII, 433 p. 141 illus.)Lecture Notes in Bioinformatics ;103303-319-59574-1 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 -- Systems biology.This book constitutes the proceedings of the 13th International Symposium on Bioinformatics Research and Applications, ISBRA 2017, held in Honolulu, HI, USA, in May/June 2017. 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.Lecture Notes in Bioinformatics ;10330BioinformaticsBiomathematicsData miningPattern recognitionBioinformatics Computational biology Computational Biology/Bioinformaticshttps://scigraph.springernature.com/ontologies/product-market-codes/I23050Mathematical and Computational Biologyhttps://scigraph.springernature.com/ontologies/product-market-codes/M31000Data Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XComputer Appl. in Life Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/L17004Bioinformatics.Biomathematics.Data mining.Pattern recognition.Bioinformatics .Computational biology .Computational Biology/Bioinformatics.Mathematical and Computational Biology.Data Mining and Knowledge Discovery.Pattern Recognition.Computer Appl. in Life Sciences.572.80285Cai Zhipengedthttp://id.loc.gov/vocabulary/relators/edtDaescu Ovidiuedthttp://id.loc.gov/vocabulary/relators/edtLi Min1978-.MiAaPQMiAaPQMiAaPQBOOK9910483174703321Bioinformatics Research and Applications772362UNINA