LitMiner and WikiGene -- identifying problem-related key players of gene regulation using publication abstracts
What you can do:
Identify problem-related key players of gene regulation using publication abstracts.
Highlights:
- The LitMiner software is a literature data-mining tool that facilitates the identification of major gene regulation key players related to a user-defined field of interest in PubMed abstracts.
- The prediction of gene-regulatory relationships is based on co-occurrence analysis of key terms within the abstracts. LitMiner predicts relationships between key terms from the biomedical domain in four categories (genes, chemical compounds, diseases and tissues).
- Owing to the limitations (no direction, unverified automatic prediction) of the co-occurrence approach, the primary data in the LitMiner database represent postulated basic gene-gene relationships.
- The usefulness of the LitMiner system has been demonstrated recently in a study that reconstructed disease-related regulatory networks by promoter modelling that was initiated by a LitMiner generated primary gene list.
- To overcome the limitations and to verify and improve the data, WikiGene, a Wiki-based curation tool that allows revision of the data by expert users over the Internet is developed (http://andromeda.gsf.de/wiki).
Keywords:
- literature mining tool
- literature study tool
- PubMed abstract analysis tool
- gene regulation analysis tool
- gene regulatory network analysis tool
- co-cited gene analysis tool
Literature & Tutorials:
This record last updated: 01-11-2006