Vai al contenuto principale della pagina

Bioinformation Discovery : Data to Knowledge in Biology / / by Pandjassarame Kangueane



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Autore: Kangueane Pandjassarame Visualizza persona
Titolo: Bioinformation Discovery : Data to Knowledge in Biology / / by Pandjassarame Kangueane Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Edizione: 2nd ed. 2018.
Descrizione fisica: 1 online resource (226 pages)
Disciplina: 570.285
Soggetto topico: Bioinformatics
Immunology
Vaccines
Proteins 
Computational Biology/Bioinformatics
Vaccine
Protein Structure
Nota di contenuto: Creating 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.
Sommario/riassunto: This 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. .
Titolo autorizzato: Bioinformation Discovery  Visualizza cluster
ISBN: 3-319-95327-3
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910298410803321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui