LigerCat: using "MeSH Clouds" from journal, article, or gene citations to facilitate the identification of relevant biomedical literature

AMIA Annu Symp Proc. 2009 Nov 14;2009:563-7.


The identification of relevant literature from within large collections is often a challenging endeavor. In the context of indexed resources, such as MEDLINE, it has been shown that keywords from a controlled vocabulary (e.g., MeSH) can be used in combination to retrieve relevant search results. One effective strategy for identifying potential search terms is to examine a collection of documents for frequently occurring terms. In this way, "Tag clouds" are a popular mechanism for ascertaining terms associated with a collection of documents. Here, we present the Literature and Genomic Electronic Resource Catalogue (LigerCat) system for exploring biomedical literature through the selection of terms within a "MeSH cloud" that is generated based on an initial query using journal, article, or gene data. The resultant interface is encapsulated within a Web interface: The system is also available for installation under an MIT license.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Biomedical Research
  • Catalogs as Topic*
  • Genes
  • Information Storage and Retrieval / methods*
  • Medical Subject Headings*
  • Molecular Sequence Data
  • Periodicals as Topic