Bioinformation Discovery [electronic resource] : Data to Knowledge in Biology / by Pandjassarame Kangueane.

Kangueane, Pandjassarame.
Call Number
570.285
Author
Kangueane, Pandjassarame. author.
Title
Bioinformation Discovery Data to Knowledge in Biology / by Pandjassarame Kangueane.
Physical Description
XXV, 166 p. online resource.
Contents
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.
Summary
Bioinformation Discovery illustrates 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. Each chapter concludes with a number of good problem sets to test mastery of the material.
Added Author
SpringerLink (Online service)
Subject
LIFE SCIENCES.
IMMUNOLOGY.
VACCINES.
BIOINFORMATICS.
PROTEINS.
Life Sciences.
Bioinformatics.
Computational Biology/Bioinformatics.
Immunology.
Vaccine.
Protein Structure.
Multimedia
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$a Bioinformation Discovery illustrates the power of biological data in knowledge discovery. It describes biological data types and representations with examples for creating a workflow in Bioinformation discovery. The concepts in knowledge discovery from data are illustrated using line diagrams. The principles and concepts in knowledge discovery are used for the development of prediction models for simulations of biological reactions and events. Advanced topics in molecular evolution and cellular & molecular biology are addressed using Bioinformation gleaned through discovery. Each chapter contains approximately 10 exercises for practice. This will help students to expand their problem solving skills in Bioinformation Discovery. Each chapter concludes with a number of good problem sets to test mastery of the material.
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$a LIFE SCIENCES.
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$a IMMUNOLOGY.
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$a VACCINES.
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$a Life Sciences.
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$a Bioinformatics.
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$a Computational Biology/Bioinformatics.
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$a Immunology.
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$a Vaccine.
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$a Protein Structure.
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Summary
Bioinformation Discovery illustrates 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. Each chapter concludes with a number of good problem sets to test mastery of the material.
Contents
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.
Subject
LIFE SCIENCES.
IMMUNOLOGY.
VACCINES.
BIOINFORMATICS.
PROTEINS.
Life Sciences.
Bioinformatics.
Computational Biology/Bioinformatics.
Immunology.
Vaccine.
Protein Structure.
Multimedia