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of the U.S. National Library of Medicine to hunt for information regarding the
relationships between genes, proteins and keywords of your interest. Chilibot
uses aiSee to generate a relationship map which can then be interactively
explored by the user via a well-designed Web-based interface.
Chilibot accepts gene symbols, gene names, UniGene IDs, and
free form keywords as query terms. It automatically performs a synonym lookup
before sending a query to the PubMed. The synonym database contains over 110,000
entries; the synonyms are user-editable.
Chilibot outputs:
- A synopsis for each query term with user-defined keywords highlighted,
- Extensive link connections to PubMed for terms, synonyms, abstracts and relationships, and
- Relationship and sub-network maps of various kinds.
Chilibot also links to other databases such as OMIM, LocusLink,
and the Genome Database. And not only that: it can also automatically generate
a new hypothesis based on the literature found.
» Chilibot.net: Mining MEDLINE for gene/protein/keyword relationships
» White paper: Content-rich biological network constructed by mining PubMed abstracts

» Related app: GiGA — Graph-based iterative Group Analysis of gene expression experiments
» Related app: PubNet — Publication Network Graph Utility
» Related app: MIPS — mammalian protein-protein interaction database
» Related app: GenDB — genome annotation system
» More from aiSee users in the US

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