( Agilent Technologies Inc. (NYSE: A) tod...)Agilent Technologies releases automated literature search tool for biology researchers

Agilent Technologies Inc. (NYSE: A) today released an automated literature search tool for the multidisciplinary study of biological systems. The tool is available as a free plug-in to Cytoscape 2.1, an open-source bioinformatics platform that enables researchers to form a visual map of complex biological networks, increasing their understanding of molecular pathways and the biological causes of disease.

The Agilent Literature Search tool automatically searches for and extracts information from multiple textual databases, such as those of the U.S. Patent Office and the National Center for Biotechnology Information (PubMed). The plug-in pulls information from these sources and represents it within Cytoscape as a map of the relationships between the biological entities, such as genes and proteins. A microarray or an LC/MS-proteomics experiment can typically result in hundreds of genes and proteins of interest. Biologists can use the new plug-in to avoid the daunting task of manually searching for each gene and protein in the scientific literature and patents.

"Mining past literature for information about proteins and protein interactions is a critical step for building models of cells," said Trey Ideker, assistant professor at the University of California, San Diego, and lead researcher/program manager for the Cytoscape project. "Agilent's Literature Search plug-in for Cytoscape makes automatic literature mining freely accessible to the public, with an algorithmic approach that is first-rate."

"Agilent is committed to accelerating the productivity of biologists," said Jim Hollenhorst, director of the Molecular Technologies Laboratory for Agilent Laboratories. "This literature search tool was developed within Labs to facilitate our own research collaborations and has proved very successful for us. We are excited to provide this to researchers everywhere so that they can analyze their own data more effectively and put it into a biological context.
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Source:Agilent

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