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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