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Bioinformatics. 2006 Oct 1;22(19):2444-5. Epub 2006 Jul 26.

AliBaba: PubMed as a graph.

Author information

1
Knowledge Management in Bioinformatics, Humboldt-Universit├Ąt zu Berlin Unter den Linden 6, 10099 Berlin, Germany.

Abstract

The biomedical literature contains a wealth of information on associations between many different types of objects, such as protein-protein interactions, gene-disease associations and subcellular locations of proteins. When searching such information using conventional search engines, e.g. PubMed, users see the data only one-abstract at a time and 'hidden' in natural language text. AliBaba is an interactive tool for graphical summarization of search results. It parses the set of abstracts that fit a PubMed query and presents extracted information on biomedical objects and their relationships as a graphical network. AliBaba extracts associations between cells, diseases, drugs, proteins, species and tissues. Several filter options allow for a more focused search. Thus, researchers can grasp complex networks described in various articles at a glance.

AVAILABILITY:

http://alibaba.informatik.hu-berlin.de/

PMID:
16870931
DOI:
10.1093/bioinformatics/btl408
[Indexed for MEDLINE]

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