LEADER 06032nam 22007455 450 001 9910746084003321 005 20231005174215.0 010 $a3-319-19775-4 010 $a3-319-19776-2 024 7 $a10.1007/978-3-319-19776-0 035 $a(CKB)2670000000618842 035 $a(EBL)2095836 035 $a(SSID)ssj0001501145 035 $a(PQKBManifestationID)11918317 035 $a(PQKBTitleCode)TC0001501145 035 $a(PQKBWorkID)11521994 035 $a(PQKB)11290936 035 $a(DE-He213)978-3-319-19776-0 035 $a(MiAaPQ)EBC2095836 035 $a(PPN)18602844X 035 $a(EXLCZ)992670000000618842 100 $a20150518d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$a9th International Conference on Practical Applications of Computational Biology and Bioinformatics /$fedited by Ross Overbeek, Miguel P. Rocha, Florentino Fdez-Riverola, Juan F. De Paz 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource 225 1 $aAdvances in Intelligent Systems and Computing,$x2194-5357 ;$v375 300 $aDescription based upon print version of record. 320 $aIncludes bibliographical references and index. 327 $aA Preliminary Assessment of Three Strategies for the Agent-Based Modeling of Bacterial Conjugation -- Carotenoid Analysis of Cassava Genotypes Roots (Manihot   Esculenta Crantz) Cultivated in Southern Brazil Using Chemometric Tools -- UV-Visible Scanning Spectrophotometry and Chemometric Analysis As Tools to Build Descriptive And Classification Models for Propolis from Southern Brazil -- UV-Visible Spectrophotometry-Based Metabolomic Analysis of Cedrela Fissilis Velozzo (Meliaceae) Calluses - A Screening Tool for Culture Medium Composition and Cell Metabolic Profiles -- An Integrated Computational Platform for Metabolomics Data Analysis -- Compound Identification in Comprehensive Gas Chromatography - Mass Spectrometry-Based Metabolomics by Blind Source Separation -- Dolphin 1D: Improving Automation of Targeted Metabolomics in Multi-Matrix Datasets Of 1H-NMR Spectra -- A New Dimensionality Reduction Technique Based On HMM for Boosting Document Classification -- Diagnostic Knowledge Extraction from Medlineplus: An Application for Infectious Diseases -- A Text Mining Approach for the Extraction Of Kinetic Information from Literature -- A Novel Search Engine Supporting Specific Drug Queries And Literature Management -- Ganoderma Australe Transcriptome Analysis with Hidden Markov Model And Bayesian Inference Approaches -- A New Bioinformatic Pipeline to Address The Most Common Requirements in RNA-Seq Data Analysis -- Microarray Gene Expression Data Integration: An Application to Brain Tumor Grade Determination -- Obtaining Relevant Genes by Analysis of Expression Arrays with a Multi-Agent System. 330 $aThis proceedings presents recent practical applications of Computational Biology and  Bioinformatics. It contains the proceedings of the 9th International Conference on Practical Applications of Computational Biology & Bioinformatics held at University of Salamanca, Spain, at June 3rd-5th, 2015. The International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB) is an annual international meeting dedicated to emerging and challenging applied research in Bioinformatics and Computational Biology. Biological and biomedical research are increasingly driven by experimental techniques that challenge our ability to analyse, process and extract meaningful knowledge from the underlying data. The impressive capabilities of next generation sequencing technologies, together with novel and ever evolving distinct types of omics data technologies, have put an increasingly complex set of challenges for the growing fields of Bioinformatics and Computational Biology. The analysis of the datasets produced and their integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. Clearly, Biology is more and more a science of information requiring tools from the computational sciences. 410 0$aAdvances in Intelligent Systems and Computing,$x2194-5357 ;$v375 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aBioinformatics 606 $aChemoinformatics 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputational Biology/Bioinformatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23050 606 $aComputer Applications in Chemistry$3https://scigraph.springernature.com/ontologies/product-market-codes/C13009 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aBioinformatics. 615 0$aChemoinformatics. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aComputational Biology/Bioinformatics. 615 24$aComputer Applications in Chemistry. 676 $a572.80285 702 $aOverbeek$b Ross$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRocha$b Miguel P$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aFdez-Riverola$b Florentino$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDe Paz$b Juan F$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910746084003321 996 $a9th International Conference on Practical Applications of Computational Biology and Bioinformatics$91412341 997 $aUNINA