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Collaborative development of the Arrowsmith two node search interface designed for laboratory investigators

Neil R Smalheiser1*, Vetle I Torvik1, Amanda Bischoff-Grethe2, Lauren B Burhans3, Michael Gabriel4, Ramin Homayouni5, Alireza Kashef3, Maryann E Martone6, Guy A Perkins6, Diana L Price6, Andrew C Talk3 and Ruth West6

Author Affiliations

1 Department of Psychiatry and Psychiatric Institute, University of Illinois, MC912, 1601 W. Taylor Street, Chicago, IL 60612, USA

2 Department of Psychiatry, University of California-San Diego, La Jolla, CA, and Veterans Affairs San Diego Healthcare System, San Diego, CA, USA

3 Neuroscience Program and Beckman Institute, University of Illinois, Urbana, IL, USA

4 Professor Emeritus, Department of Psychology and Beckman Institute, University of Illinois, Urbana, IL, USA

5 Department of Neurology, University of Tennessee, Memphis, TN, USA Current address: Bioinformatics Program, University of Memphis, USA

6 National Center for Microscopy and Imaging Research and Department of Neurosciences, University of California-San Diego, La Jolla, CA, USA

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Journal of Biomedical Discovery and Collaboration 2006, 1:8  doi:10.1186/1747-5333-1-8

Published: 3 July 2006

Abstract

Arrowsmith is a unique computer-assisted strategy designed to assist investigators in detecting biologically-relevant connections between two disparate sets of articles in Medline. This paper describes how an inter-institutional consortium of neuroscientists used the UIC Arrowsmith web interface http://arrowsmith.psych.uic.edu webcite in their daily work and guided the development, refinement and expansion of the system into a suite of tools intended for use by the wider scientific community.