LigerCat: using "MeSH Clouds" from journal, article, or gene citations to facilitate the identification of relevant biomedical literature.
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: http://ligercat.ubio.org. The system is also available for installation under an MIT license.
Sarkar
Indra Neil
IN
Center for Clinical and Translational Science, University of Vermont, Burlington, VT, USA.
Schenk
Ryan
R
Miller
Holly
H
Norton
Catherine N
CN
D035843:Biomedical Research; D002377:Catalogs as Topic; D005796:Genes; D016247:Information Storage and Retrieval / Q000379:methods*; D016239:MEDLINE; D046650:Medical Subject Headings; D008969:Molecular Sequence Data; D010506:Periodicals as Topic