MedMiner
MedMiner extracts, filters, and organizes gene-centered information from GeneCards and PubMed to support interpretation of cDNA microarray and oligonucleotide chip gene expression experiments.
Key Features:
- Data Filtering and Organization: Filters and organizes textual and structured information retrieved from GeneCards and PubMed.
- Gene Selection: Facilitates selection of genes from cDNA microarray and oligonucleotide chip datasets using gene annotations from GeneCards.
- PubMed Search Integration: Searches PubMed abstracts using known gene synonyms and other user-defined parameters.
- Relational Keyword Grouping: Groups PubMed search results based on relational keywords.
Scientific Applications:
- Gene expression analysis: Supports interpretation of cDNA microarray and oligonucleotide chip experiments by integrating literature and gene annotation data.
- Identification of genetic interactions and pathways: Aids identification of significant genetic interactions and pathways through combined gene information and PubMed evidence.
- Molecular genetics and pharmacology research: Applies to analyses involving molecular genetic or pharmacological information by aggregating relevant gene-centric and literature data.
Methodology:
Retrieves structured gene data from GeneCards and textual abstracts from PubMed; searches PubMed using gene synonyms and user-defined parameters; filters and organizes the retrieved information; and groups PubMed results by relational keywords.
Topics
Details
- Tool Type:
- web application
- Added:
- 5/2/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Tanabe L, Scherf U, Smith L, Lee J, Hunter L, Weinstein J. MedMiner: An Internet Text-Mining Tool for Biomedical Information, with Application to Gene Expression Profiling. BioTechniques. 1999;27(6):1210-1217. doi:10.2144/99276bc03. PMID:10631500.
DOI: 10.2144/99276bc03
PMID: 10631500