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 Video

Updated: Jul 3, 2026

Development of Compendium for Esophageal Squamous Cell Carcinoma
03:36

Development of Compendium for Esophageal Squamous Cell Carcinoma

Published on: April 12, 2024

A web service for biomedical term look-up.

Henk Harkema1, Ian Roberts, Rob Gaizauskas

  • 1Department of Computer Science, University of Sheffield, Sheffield, UK. harkema@dcs.shef.ac.uk

Comparative and Functional Genomics
|July 17, 2008
PubMed
Summary

Termino is a new resource that helps researchers quickly find gene and protein names in biomedical texts. This natural language processing tool improves access to electronic health information.

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

Heritable single-cell gene expression states shape functional variability in innate immune responses.

bioRxiv : the preprint server for biology·2026
Same author

Non-invasive assessment of coronary inflammation improves the diagnostic accuracy of coronary death in post-mortem CT angiography.

Journal of cardiovascular computed tomography·2026
Same author

TRACTION for Greater Surgical Use of Tranexamic Acid.

The New England journal of medicine·2026
Same author

Tranexamic acid for preventing severe bleeding in caesarean births.

BMJ (Clinical research ed.)·2026
Same author

Redefining Fibrinolytic Insufficiency in Sepsis-Associated DIC.

Seminars in thrombosis and hemostasis·2026
Same author

Early assessment of maternal bleeding: development and validation of a prognostic model predicting death and near miss.

The Lancet. Global health·2026

Area of Science:

  • Biomedical Informatics
  • Natural Language Processing
  • Bioinformatics

Background:

  • The volume of electronic biomedical data is rapidly increasing.
  • Efficient navigation of this data is crucial for researchers.
  • Natural language processing (NLP) can enhance access to textual biomedical information.

Purpose of the Study:

  • To develop a system for automatic identification and classification of biological entities (genes, proteins) in text.
  • To facilitate the integration of experimental results with existing biomedical data.
  • To create a scalable terminological resource for biomedical text processing.

Main Methods:

  • Developed Termino, a large-scale terminological resource.
  • Incorporated a database for storing terms and associated information (e.g., from UMLS).

More Related Videos

A Web Tool for Generating High Quality Machine-readable Biological Pathways
08:01

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

Related Experiment Videos

Last Updated: Jul 3, 2026

Development of Compendium for Esophageal Squamous Cell Carcinoma
03:36

Development of Compendium for Esophageal Squamous Cell Carcinoma

Published on: April 12, 2024

A Web Tool for Generating High Quality Machine-readable Biological Pathways
08:01

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

  • Implemented a finite state recognizer for efficient term identification and markup in text.

    • Main Results:

    • Termino provides fast and efficient identification of biomedical terms.
    • The system enables computational processing of textual information.
    • Termino is available as a web service for broad accessibility.

    Conclusions:

    • Automatic term recognition is essential for managing biomedical information.
    • Termino offers a robust solution for identifying biological entities in text.
    • The web service facilitates the integration of Termino into diverse biomedical applications.