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Published on: December 22, 2017
Text-mining and information-retrieval services for molecular biology
Martin Krallinger1, Alfonso Valencia
1National Center of Biotechnology, CNB-CSIC, Cantoblanco, E-28049 Madrid, Spain. martink@cnb.uam.es
Genome Biology
|July 7, 2005
Summary
Text-mining in molecular biology automatically extracts gene and protein information from text. This emerging field enhances knowledge access for biologists and database annotators.
Area of Science:
- Bioinformatics
- Computational Linguistics
- Information Science
Background:
- Text-mining is an emerging hybrid discipline.
- It focuses on automatic information extraction from text documents.
Purpose of the Study:
- To define text-mining in molecular biology.
- To highlight its interdisciplinary nature.
- To present recent applications.
Main Methods:
- Information extraction from text documents.
- Development of text-mining applications.
Main Results:
- Text-mining has emerged as a key discipline.
- Several text-mining applications have been developed.
Conclusions:
- Text-mining improves access to molecular biology knowledge.
- It benefits biologists and database annotators.
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