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Exploring Biological Databases: A Comprehensive Overview

Learn about the significance of biological databases in scientific research, classification into sequence and structure databases, importance in analyzing biological phenomena, and access methods via web portals. Discover how these resources facilitate disease research, medication development, genetic disease prediction, and evolutionary studies.

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Exploring Biological Databases: A Comprehensive Overview

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  1. Biological Databases By: Komal Arora

  2. Introduction • Biological databases are libraries of life sciences information, collected from scientific experiments, published literature, high-throughput experiment technology, and computational analysis.

  3. Introduction • Information contained in biological databases includes • gene function, structure, (both cellular and chromosomal), effects of mutations as well as similarities of biological sequences and structures.

  4. Classification • Biological databases can be broadly classified into sequence and structure databases. • Nucleic acid and protein sequences are stored in sequence databases and structure database only store proteins.

  5. Sequence DB • In the field of bioinformatics, a sequence database is a type of biological database that is composed of a large collection of computerized ("digital") nucleic acid sequences, protein sequences, or other polymer sequences stored on a computer. • The UniProt database is an example of a protein sequence database.

  6. Structure databases • structure database is a database that is modeled around the various experimentally determined protein structures. • The aim of most protein structure databases is to organize the protein structures, providing the biological community access to the experimental data in a useful way.

  7. Importance • These databases are important tools in assisting scientists to analyze and explain a host of biological phenomena from the structure of biomolecules and their interaction, to the whole metabolism of organisms and to understanding the evolution of species.

  8. Importance • This knowledge helps facilitate the fight against diseases, assists in the development of medications, • predicting certain genetic diseases and in discovering basic relationships among species in the history of life.

  9. Relation with RDBMS • Relational database concepts of computer science and Information retrieval concepts of digital libraries are important for understanding biological databases.

  10. How to access • Most biological databases are available through web sites that organise data such that users can browse through the data online. • In addition the underlying data is usually available for download in a variety of formats. • Biological data comes in many formats. These formats include text, sequence data, protein structure and links.

  11. Example • STRING uses a relational database system (PostgreSQL) to store primary data and precomputed predictions. • For convenience, STRING provide selected data-items as flatfiles .

  12. END

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