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MedMiner: an Internet text-mining tool for biomedical information, with application to gene expression profiling
L Tanabe1, U Scherf, L H Smith
1National Institutes of Health, Bethesda, MD, USA. ltanaben@molstat.nci.nih.gov
Biotechniques
|January 13, 2000
Summary
Researchers can now better manage vast amounts of gene expression data using MedMiner, an internet-based tool that filters and organizes information from public databases. This technology aids in analyzing complex molecular biology findings.
Area of Science:
- Bioinformatics
- Molecular Biology
- Genomics
Background:
- High-throughput techniques in molecular biology generate massive datasets.
- The increasing volume of online scientific data challenges researchers' ability to extract valuable information.
- Gene expression experiments, such as those using cDNA microarrays and oligonucleotide chips, are particularly affected.
Purpose of the Study:
- To present MedMiner, an Internet-based hypertext program designed to address information overload.
- To filter and organize large amounts of textual and structured data from public search engines.
- To demonstrate the utility of MedMiner for analyzing gene expression data.
Main Methods:
- Developed an Internet-based hypertext program named MedMiner.
- Integrated filtering and organization capabilities for public search engine outputs.
- Utilized data from GeneCards and PubMed for demonstration.
Main Results:
- MedMiner effectively filters and organizes large volumes of scientific information.
- The program's value was demonstrated for the analysis of gene expression data.
- MedMiner's applicability extends beyond gene expression to other molecular genetic and pharmacological information.
Conclusions:
- MedMiner provides a solution for managing and analyzing overwhelming amounts of scientific data.
- The tool can be broadly applied to organize information from any arbitrary PubMed search.
- MedMiner enhances researchers' ability to leverage online scientific data effectively.