Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

BioText Search Engine: beyond abstract search.

Marti A Hearst1, Anna Divoli, Harendra Guturu

  • 1School of Information, University of California, Berkeley, CA 94720, USA. hearst@ischool.berkeley.edu

Bioinformatics (Oxford, England)
|June 5, 2007
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A genome-wide association study of mass spectrometry proteomics using a nanoparticle enrichment platform.

Nature genetics·2025
Same author

An Analysis of Text Functions in Information Visualization.

IEEE transactions on visualization and computer graphics·2025
Same author

Cloud-Enabled Scalable Analysis of Large Proteomics Cohorts.

Journal of proteome research·2025
Same author

"It's a Good Idea to Put It Into Words": Writing 'Rudders' in the Initial Stages of Visualization Design.

IEEE transactions on visualization and computer graphics·2024
Same author

A Scaled Proteomic Discovery Study for Prostate Cancer Diagnostic Markers Using Proteograph<sup>TM</sup> and Trapped Ion Mobility Mass Spectrometry.

International journal of molecular sciences·2024
Same author

Genetic risk factors for COVID-19 and influenza are largely distinct.

Nature genetics·2024
Same journal

3DICE: Interpretable 3D Cross-Modal Learning for Drug-Target Interaction Prediction and Large-Scale Drug Discovery.

Bioinformatics (Oxford, England)·2026
Same journal

KASSPer: Kinase Active Site Structure Prediction using Protein and Ligand Language Models and Its Application to Virtual Screening.

Bioinformatics (Oxford, England)·2026
Same journal

IDR searcher: a search engine solution for public image resources.

Bioinformatics (Oxford, England)·2026
Same journal

KCFtools: Rapid alignment-free method for introgression screening and GWAS using k-mer profiles.

Bioinformatics (Oxford, England)·2026
Same journal

Meta2DB: Curated shotgun metagenomic feature sets and metadata for health state prediction.

Bioinformatics (Oxford, England)·2026
Same journal

conMItion: an R package adjusting confounding factors for associations in multi-omics.

Bioinformatics (Oxford, England)·2026
See all related articles

The BioText Search Engine offers biologists novel ways to access scientific literature by enabling searches of article figures and captions. This tool provides new insights through innovative visualization and search functionalities.

Area of Science:

  • Bioinformatics
  • Scientific Literature Access

Background:

  • The BioText Search Engine is a freely available web-based application.
  • It aims to enhance how biologists interact with scientific literature.

Purpose of the Study:

  • To introduce a novel search engine for accessing scientific literature.
  • To provide biologists with enhanced tools for literature exploration.

Main Methods:

  • Development of a web-based application.
  • Implementation of figure and caption search functionality.
  • Introduction of a grid view for juxtaposing figures and a list view for article figures.

Main Results:

  • Enables searching and browsing of article figures and their captions.

Related Experiment Videos

  • Offers a grid view for comparing figures related to keywords.
  • Provides an abstract/title search with a list view of associated figures.

    • Conclusions:

    • The BioText Search Engine offers a new approach to scientific literature discovery.
    • The interface is designed with usability principles for biologists.
    • The search engine is under continuous development with future enhancements planned.