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A real-time and dynamic biological information retrieval and analysis system (BIRAS)
Qi Zhou1, Hong Zhang, Meiying Geng
1Department of Genomics and Proteomics, Beijing Institute of Radiation Medicine, Beijing 100850, China.
Genomics, Proteomics & Bioinformatics
|January 1, 2005
Summary
This study introduces the Biological Information Retrieval and Analysis System (BIRAS), an internet-based tool for accessing and analyzing biological data. BIRAS efficiently retrieves literature, nucleotide, and protein sequences from NCBI databases in real-time.
Area of Science:
- Bioinformatics
- Computational Biology
- Information Science
Background:
- Biological data is rapidly expanding, necessitating efficient retrieval systems.
- Existing systems may lack real-time analysis capabilities for diverse biological resources.
Purpose of the Study:
- To design and develop an internet-based Biological Information Retrieval and Analysis System (BIRAS).
- To enable real-time retrieval and analysis of biological information from major databases.
Main Methods:
- Developed BIRAS utilizing specific network protocols for internet communication.
- Integrated BIRAS with the Entrez search and retrieval system of the National Center for Biotechnology Information (NCBI).
- Implemented automated retrieval of literature, nucleotide sequences, and protein sequences based on user-defined terms.
Main Results:
- BIRAS successfully retrieves and analyzes biological information in real-time.
- Information can be delivered via pop-up messages or automated email notifications.
- The system supports dynamic and intelligent retrieval from large biological databases.
Conclusions:
- BIRAS provides a robust solution for accessing and analyzing biological data.
- The system is expected to be widely adopted for efficient information retrieval from extensive biological databases.
- The BIRAS program is available upon request.