AliBaba: PubMed as a graph.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 16870931.
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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. http://alibaba.informatik.hu-berlin.de/
Medical subject headings
- Abstracting and Indexing
- Algorithms
- Computer Graphics
- Natural Language Processing
- Periodicals as Topic
- Software
- User-Computer Interface