LEADER 00898nam0-22002771i-450 001 990005594630403321 005 20230110172555.0 035 $a000559463 035 $aFED01000559463 035 $a(Aleph)000559463FED01 035 $a000559463 100 $a19990530d1961----km-y0itay50------ba 101 0 $ager 105 $aa-------00--- 200 1 $aFnhrer durch die Ausgrabungen und das Museum auf dem Magdalensberg$fvon Rudolf Egger 210 $aKlagenfurt$cIm Verlag des Geschichtsvereines fnr KSrnten$d1961 215 $a64 p., 1 c. rip.$cill.$d18 cm 700 1$aEgger,$bRudolf$0182070 712 0 $aLANDESMUSEUM FÜR K-RNTEN 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990005594630403321 952 $aARCH. D 075 16$bARCH. 10072$fFLFBC 959 $aFLFBC 996 $aFnhrer durch die Ausgrabungen und das Museum auf dem Magdalensberg$9608796 997 $aUNINA LEADER 03385nam 22005775 450 001 9910298410803321 005 20251116203339.0 010 $a3-319-95327-3 024 7 $a10.1007/978-3-319-95327-4 035 $a(CKB)4100000006098170 035 $a(MiAaPQ)EBC5504966 035 $a(DE-He213)978-3-319-95327-4 035 $a(PPN)22991943X 035 $a(EXLCZ)994100000006098170 100 $a20180831d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBioinformation Discovery $eData to Knowledge in Biology /$fby Pandjassarame Kangueane 205 $a2nd ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (226 pages) 311 08$a3-319-95326-5 327 $aCreating Datasets -- Tools and Techniques -- Protein Subunits Interaction -- Homodimer Folding and Binding -- Fusion Proteins -- Major Histocompatibility Complex (MHC) and Peptide Binding -- HLA Supertypes -- T-Epitope Designer -- Eukaryotic Genes, Functions, Genomes, Design, and Evolution -- Single Nucleotide Polymorphism._ Genes, Proteins and Diseases -- Protein Functions Driven By Surface Electrostatics. 330 $aThis new edition continues to illustrate the power of biological data in knowledge discovery. It describes biological data types and representations with examples for creating a workflow in bioinformation discovery. The concepts in knowledge discovery from data are illustrated using line diagrams. The principles and concepts in knowledge discovery are used for the development of prediction models for simulations of biological reactions and events. Advanced topics in molecular evolution and cellular & molecular biology are addressed using bioinformation gleaned through discovery. Each chapter contains approximately 10 exercises for practice. This will help students to expand their problem solving skills in Bioinformation Discovery. In this new edition, there are three new chapters covering single nucleotide polymorphism, genes, proteins and disease, and protein functions driven by surface electrostatics. . 606 $aBioinformatics 606 $aImmunology 606 $aVaccines 606 $aProteins 606 $aBioinformatics$3https://scigraph.springernature.com/ontologies/product-market-codes/L15001 606 $aComputational Biology/Bioinformatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23050 606 $aImmunology$3https://scigraph.springernature.com/ontologies/product-market-codes/B14000 606 $aVaccine$3https://scigraph.springernature.com/ontologies/product-market-codes/B16010 606 $aProtein Structure$3https://scigraph.springernature.com/ontologies/product-market-codes/L14050 615 0$aBioinformatics. 615 0$aImmunology. 615 0$aVaccines. 615 0$aProteins. 615 14$aBioinformatics. 615 24$aComputational Biology/Bioinformatics. 615 24$aImmunology. 615 24$aVaccine. 615 24$aProtein Structure. 676 $a570.285 700 $aKangueane$b Pandjassarame$4aut$4http://id.loc.gov/vocabulary/relators/aut$01058916 906 $aBOOK 912 $a9910298410803321 996 $aBioinformation Discovery$92503176 997 $aUNINA