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

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

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

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

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

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

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

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

author email corresponding author email

Journal of Biomedical Discovery and Collaboration 2006, 1:8doi: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.


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