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Online tools to support literature-based discovery in the life sciences
Marc Weeber1, Jan A Kors, Barend Mons
1Department of Medical Informatics, Erasmus MC - University Medical Center Rotterdam, PO Box 1738, 3000 DR Rotterdam, The Netherlands. m.weeber@erasmusmc.nl
Briefings in Bioinformatics
|October 11, 2005
Summary
Literature-based discovery (LBD) tools help researchers navigate overwhelming biomedical data by formulating and testing novel hypotheses. This overview covers recent LBD research, methods, and available online tools for scientific advancement.
Area of Science:
- Biomedical Informatics
- Scientific Discovery
- Data Mining
Background:
- The exponential growth of biomedical data presents challenges to scientific progress.
- Text-mining and information extraction are crucial for accessing published research.
- Novel hypotheses formulation and evaluation require advanced technological approaches.
Purpose of the Study:
- To provide an overview of recent literature-based discovery (LBD) research.
- To discuss the methodology and results of LBD tools.
- To highlight available online LBD tools for the scientific community.
Main Methods:
- Review of recent literature-based discovery (LBD) research.
- Analysis of methodologies employed by LBD tools.
- Identification and discussion of validated hypotheses generated through LBD.
Main Results:
- Several LBD tools have been developed and applied successfully.
- Specific, testable hypotheses have been generated and experimentally validated.
- An overview of LBD research, methodology, results, and tools is presented.
Conclusions:
- Literature-based discovery (LBD) tools are essential for advancing biomedical research.
- LBD facilitates hypothesis generation and validation amidst vast scientific literature.
- Accessible LBD tools can significantly aid researchers in scientific exploration.