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Modern biological research in areas like drug discovery produces a staggering volume of data, and the right modeling tools can help scientists apply it in ways never before imaginable. This collection of next-generation biodata modeling techniques combines innovative concepts, methods, and applications with case studies in genome, microarray, proteomics, and drug discovery projects to help bioinformatics professionals develop ever-more powerful data management systems in any domain. Breaking new ground at the intersection of life sciences and data management, the book introduces practitioners to core biodata modeling techniques, biological database resources, and ontology concepts. It explains the latest envelope-pushing methods and software applications for processing, integrating, and managing biodata.
About the Author
Jake Chen is an assistant professor in the School of Informatics at Indiana University and an assistant professor of computer science at Purdue University. He received his Ph.D. in computer science from the University of Minnesota. Amandeep S. Sidhu is a senior researcher at the University of Technology in Sydney, Australia. He is a leading expert in the area of protein informatics.
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microarray data management, microarray experiment, microarray analysis, expression proteomics, genome databases, genome informatics, microarray gene expression data, molecular spatial relationship, proteomics data management, protein ontology, fungal genomics project, microarray data storage, protein identification data, gating value, modern markup languages, bag relationship, generic markup languages, unordered bag, bioinformatics platform, protein annotation, experimental plate, proteomic databases, biological databases, dry lab, microarray databases Key Phrases - Capitalized Phrases (CAPs): (learn more)
Nucleic Acids Res, Drug Discovery Today, Model-Driven Drug Discovery, Modeling Biomedical Data, Application of Public Bioinformatics Database, Cell Proteomics, Trends Biotechnol, Information Systems, International Conference, New York, Expression-Based Proteomics, Concordia University, Plate Builder, Plate Viewer, Genome Res, Genome Biol, Department of Computer Science, Expert Rev, Instance Store, Target Identification, International Workshop, Current Opinion, Cancer Res, European Bioinformatics Institute, Markup Language Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
microarray data management, microarray experiment, microarray analysis, expression proteomics, genome databases, genome informatics, microarray gene expression data, molecular spatial relationship, proteomics data management, protein ontology, fungal genomics project, microarray data storage, protein identification data, gating value, modern markup languages, bag relationship, generic markup languages, unordered bag, bioinformatics platform, protein annotation, experimental plate, proteomic databases, biological databases, dry lab, microarray databases Key Phrases - Capitalized Phrases (CAPs): (learn more)
Nucleic Acids Res, Drug Discovery Today, Model-Driven Drug Discovery, Modeling Biomedical Data, Application of Public Bioinformatics Database, Cell Proteomics, Trends Biotechnol, Information Systems, International Conference, New York, Expression-Based Proteomics, Concordia University, Plate Builder, Plate Viewer, Genome Res, Genome Biol, Department of Computer Science, Expert Rev, Instance Store, Target Identification, International Workshop, Current Opinion, Cancer Res, European Bioinformatics Institute, Markup Language Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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