NaCTeM

NaCTeM Service Systems

If one of the services does not appear to be working, please check our Service Status and scheduled maintenance page before contacing us to report an error.

  • TerMine
    Term management system.
  • AcroMine
    Find distinct expanded forms of acronyms from Medline.
  • AcroMine Disambiguator: Disambiguate abbreviations in text with their correct full forms.
  • Clinical Trial Protocols (ASCOT) – An efficient search application customised for clinical trials.
  • CORD-19 – A search system and exploratory tool built on the documents of the COVID-19 Open Research Dataset, based on automatically identified technical terms, document citations, and their visualization.
  • EUPMC Evidence Finder – Searching for facts in full text articles.
  • EUPMC Evidence Finder for Anantomical entities with meta-knowledge – Searching for facts relating to anatomical entities in full text articles. Facts can be filtered according to various aspects of their interpretation (e.g., negation, certainly level, novelty)
  • FACTA+ – a MEDLINE search engine for finding associations between biomedical concepts.
    • FACTA+ Visualizer – helps intuitive understanding of FACTA+ search results through graphical visualization of the search results.
  • History of Medicine (HOM) – A semantic search system over historical medical archives
  • Kleio – an advanced information retrieval system providing knowledge enriched searching for biomedicine.
  • RobotAnalyst — A tool to minimise the human workload involved in the study identification phase of systematic reviews.
  • Thalia — A semantic search engine for Pubmed abstracts.

Other Services

  • MEDIE
    An intelligent search engine, retrieving biomedical events from Medline. Medie is based on the analysis of Enju which performs deep parsing of biomedical text.
  • Info-Pubmed
    Helps biologists to understand complex networks of protein-protein interactions. It lists the proteins which interact with a given protein. It uses a dictionary with 200,000 gene/protein names and deep-parse results of all sentences in Medline [user guide] - Firefox required

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Feedback

If you have used TerMine or AcroMine, please complete a questionnaire to tell us how useful you found the service. Your feedback is important as it helps us to improve our services to better meet the needs of the community.