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Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
Published on: November 22, 2019
Sequence databases: integrated information retrieval and data submission
J M Weisemann1, M S Boguski, B F Ouellette
1National Center for Biotechnology Information, Bethesda, Maryland, USA.
Current Protocols in Human Genetics
|April 23, 2008
Summary
The National Center for Biotechnology Information (NCBI) Entrez database browser integrates diverse biological data. Users can search this comprehensive resource using various queries, including sequence homology and bibliographic links.
Area of Science:
- Bioinformatics
- Genomics
- Molecular Biology
Background:
- The National Center for Biotechnology Information (NCBI) provides access to biological databases.
- Integrating diverse data types is crucial for biological research.
Purpose of the Study:
- To describe the NCBI's Entrez database browser.
- To outline its data integration capabilities and search functionalities.
Main Methods:
- Entrez integrates DNA and protein sequences, 3D structures, and taxonomic information.
- Data is linked with abstracts and citations from PubMed (Medical Literature Analysis and Retrieval System Online - MEDLINE).
- Search capabilities include conventional queries (authors, gene names, map location), bibliographic associations, and sequence homology.
Main Results:
- Entrez offers a unified platform for accessing and searching a wide range of biological data.
- Users can perform complex searches by combining different data types and search criteria.
Conclusions:
- Entrez serves as a powerful and versatile tool for biological information retrieval.
- The database facilitates comprehensive research by connecting disparate biological datasets.
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