Structure of relational databases

Ebook "Bioinformatics: Applications in life and environmental sciences" is aiming to provide information on bioinformatics at various levels. The chapters included in this book cover introductory to advanced aspects, including applications of various documented research work and specific case studies related to bioinformatics.

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Chapter 2 introduces the relational model of data, covering basic concepts such as the structure of relational databases, database schemas, keys, schema diagrams, relational query languages, and relational operations.

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This chapter presents the following content: Data definition, basic query structure, set operations, aggregate functions, null values, nested subqueries, complex queries, views, modification of the database.

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In this chapter, we provided detailed coverage of the basic structure of SQL. In this chapter, we cover some of the more advanced features of SQL. We address the issue of how to access SQL from a general-purpose programming language, which is very important for building applications that use a database to store and retrieve data.

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Chapter 2 - Intro to relational model. Chapter 2 introduces the relational model of data, covering basic concepts such as the structure of relational databases, database schemas, keys, schema diagrams, relational query languages, and relational operations.

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Textual data is unstructured, unlike the rigidly structured data in relational databases. The term information retrieval generally refers to the querying of unstructured textual data. Information-retrieval systems have much in common with database systems, in particular, the storage and retrieval of data on secondary storage. Chapter 21 describes information-retrieval techniques for querying textual data, including hyperlink-based techniques used in Web search engines.

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Appendix D - Network model, cover the network and hierarchical data models. Both these data models predate the relational model, and provide a level of abstraction that is lower than the relational model. They abstract away some, but not all, details of the actual data structures used to store data on disks. These models are only used in a few legacy applications.

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Ebook Fundamentals of database systems (Seventh edition): Part 2 presents the following content: Relational Database Design Algorithms and Further Dependencies; Disk Storage, Basic File Structures, Hashing, and Modern Storage Architectures; Indexing Structures for Files and Physical Database Design;...Please refer to the documentation for more details.

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Ebook Database management systems (2nd edition): Part 1 presents the following contents: Ch1 Introduction to database systems; Ch2 Identity-relationship model; Ch3 Relational model; Ch4 Relational algebra & calculus; Ch5 SQL: queries, programming, triggers; Ch6 Query-by-example (QBE); Ch7 Storing Data: Disks & Files; Ch8 File Organizations & Indexes; Ch9 Tree-Structured Indexing; Ch10 Hash-Based Indexing; Ch11 External sorting; Ch12 Evaluation of relational operators; Ch13 Introduction to query optimization; Ch14 A typical relational query optimizer.

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Ebook Database systems: Design, implementation, and management – Part 1 presents the following contents: Chapter 1: Database systems, Chapter 2: Data Models, Chapter 3: The Relational Database Model, Chapter 4: Entity Relationship (ER) Modeling, Chapter 5: Normalization of Database Tables, Chapter 6: Introduction to Structured Query Language (SQL), Chapter 7: Advanced SQL, Chapter 8: Database Design.

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This book "Database System Concepts (Sixth edition)" present the fundamental concepts of database management. These concepts include aspects of database design, database languages, and database-system implementation. Part 1 of book provide students with knowledge about: database-system applications; relational databases; structure of relational databases; introduction to SQL; intermediate SQL; advanced SQL; formal relational query languages; database design; database design and the E-R model; relational database design; data storage and querying;...

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Lecture Database Systems - Chapter 0: Welcome has present the contents of the 14-week program of Database System; accompanied by reference materials for the course and the form of the final exam;...

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Lecture Database management systems: Lesson 24. The main topics covered in this chapter include: vertical partitioning, data duplicated, clustering files, other related issues, summary of physical DB design, reduced training cost, application portability,...

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In this lecture, we will: Define key database design terms, explain the role of database design in the IS development process, transform E-R or class diagrams into normalized relations, merge normalized relations from separate user views into a consolidated set of well-structured relations.

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We today’s lecture we will: Define key database design terms, explain the role of database design in the is development process, transform E-R or class diagrams into normalized relations, merge normalized relations from separate user views into a consolidated set of well-structured relations, choose storage formats for fields , translate well-structured relations into database tables, explain when to use different types of file organizations, describe the purpose and appropriate use of indexes.

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This chapter extends your database design skills by presenting normalization techniques to remove redundancy in relational tables. In this chapter, you learned about the notation used in entity relationship diagrams, important data modeling patterns, guidelines to avoid common modeling errors, and conversion of entity relationship diagrams (ERDs) into relational tables. You applied this knowledge to construct ERDs for small, narrative problems.

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CA_C2195 from Clostridium acetobutylicum is a protein of unknown function. Sequence analysis predicted that part of the protein contained a metallopeptidase-related domain. There are over 200 homologs of similar size in large sequence databases such as UniProt, with pairwise sequence identities in the range of ~40-60%.

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Familial binding profiles (FBPs) represent the average binding specificity for a group of structurally related DNA-binding proteins. The construction of such profiles allows the classification of novel motifs based on similarity to known families, can help to reduce redundancy in motif databases and de novo prediction algorithms, and can provide valuable insights into the evolution of binding sites.

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The exponential growth of protein structural and sequence databases is enabling multifaceted approaches to understanding the long sought sequence-structure-function relationship. Advances in computation now make it possible to apply well-established data mining and pattern recognition techniques to these data to learn models that effectively relate structure and function.

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The main contents of the chapter consist of the following: Function M-files, syntax of function M-Files, comments, multiple input and output functions, relational model concepts, relational model constraints and relational database schemas, update operations and dealing with constraint violations.

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