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Bioinformatics Advance Access originally published online on June 1, 2007
Bioinformatics 2007 23(16):2196-2197; doi:10.1093/bioinformatics/btm301
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© 2007 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

BioText Search Engine: beyond abstract search

Marti A. Hearst 1, Anna Divoli 1,*, Harendra Guturu 2, Alex Ksikes 3, Preslav Nakov 2, Michael A. Wooldridge 4 and Jerry Ye 1

1School of Information, 2EECS, CS division, University of California, Berkeley, CA 94720, 3Darwin College, University of Cambridge, CB3 9EU, UK and 4California Digital Library, University of California, Oakland, CA 94612

*To whom correspondence should be addressed.


  Abstract

Summary: The BioText Search Engine is a freely available Web-based application that provides biologists with new ways to access the scientific literature. One novel feature is the ability to search and browse article figures and their captions. A grid view juxtaposes many different figures associated with the same keywords, providing new insight into the literature. An abstract/title search and list view shows at a glance many of the figures associated with each article. The interface is carefully designed according to usability principles and techniques. The search engine is a work in progress, and more functionality will be added over time.

Availability: http://biosearch.berkeley.edu

Contact: divoli{at}ischool.berkeley.edu and hearst{at}ischool.berkeley.edu

Associate Editor: Alfonso Valencia

Received on April 12, 2007; revised on May 23, 2007; accepted on May 29, 2007

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