BioText Search Engine: Beyond abstract search

Marti A. Hearst, Anna Divoli, H. Harendra Guturu, Alex Ksikes, Preslav Nakov, Michael A. Wooldridge, Jerry Ye

Research output: Contribution to journalArticle

90 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)2196-2197
Number of pages2
JournalBioinformatics
Volume23
Issue number16
DOIs
Publication statusPublished - 15 Aug 2007

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ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

Cite this

Hearst, M. A., Divoli, A., Guturu, H. H., Ksikes, A., Nakov, P., Wooldridge, M. A., & Ye, J. (2007). BioText Search Engine: Beyond abstract search. Bioinformatics, 23(16), 2196-2197. https://doi.org/10.1093/bioinformatics/btm301