Biological Database Modeling

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. Master the next-generation of database modeling techniques with this cutting-edge resource and take your biodata management skills to the next level. The book shows you how to take a global approach to representing complex biological concepts and their evolving data structures. This highly accessible volume presents innovative biological database modeling concepts, methods, and software tools that are integrated with case studies in genomics, functional genomics, proteomics, and drug discovery projects. Breaking new ground at the intersection of high-throughput biology, bioinformatics, and data management, this essential resource offers you a comprehensive introduction to biological data modeling techniques, biological database resources, and ontology concepts. You are introduced to the latest computational methods and software applications for processing, integrating, and managing biological data from a variety of sources, including public literature, high-throughput sequencing, gene expression profiling, proteomics profiling, and chemical compound screenings. Throughout the book, novel perspectives are presented to deal with challenges inherent in biological data, including Omicsù data-high volume, high noise, inconsistent format, incompleteness, and semantic incompatibility. Supported with more than 50 illustrations, this unique reference serves as a practical guide to your current and future bioinformatics data management projects, enabling you to design and implement effective biological data management and workflow systems

this Cutting-edge, Resource Helps Professionals And Researchers Master The Next Generation Of Biological Database Modeling Techniques. The Book Shows How To Representing Complex Biological Concepts And Their Evolving Data Structures. This Highly Accessible Volume Presents Innovative Biological Databases Modeling Concepts, Methods, And Software Tools That Are Integrated With Case Studies In Genomics, Functional Genomics, Proteomics, And Drug Discovery Projects. Breaking New Ground At The Intersection Of High-throughput Biology, Bioinformatics, And Data Management, This Essential Resource Offers Comprehensive Coverage Of: Public Biological Databases For -omics Studies In Medicine; Modeling Biomedical Data; Fundamentals Of Gene Ontology; Protein Ontology; Information Quality Management Challenges For High-throughput Data; Data Management For Fungal Genomics; Microarray Data Management; Data Management In Expression-based Proteomics; Model-driven Drug Discovery; Information Management And Interaction In High-throughput Screening For Drug Discovery.

"This resource helps professionals and researchers master the next generation of biological database modeling techniques. The book shows how to take a global approach to representing complex biological concepts and their evolving data structures. This highly accessible volume presents innovative biological database modeling concepts, methods, and software tools that are integrated with case studies in genomics, functional genomics, proteomics, and drug discovery projects. Breaking new ground at the intersection of high-throughput biology, bioinformatics, and data management, this essential resource offers comprehensive coverage."--BOOK JACKET 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 that helps bioinformatics professionals develop ever-more powerful data management systems in any domain. Introduces practitioners to core biodata modeling techniques, biological database resources, and ontology concepts. This book explains the envelope-pushing methods and software applications for processing, integrating, and managing biodata.