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1. Yamamoto Y, Yamaguchi A, Bono H, Takagi T: Allie: a database and a search service of abbreviations and long forms. Database (Oxford); 2011;2011:bar013
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  • [Source] The source of this record is MEDLINE®, a database of the U.S. National Library of Medicine.
  • [Title] Allie: a database and a search service of abbreviations and long forms.
  • Many abbreviations are used in the literature especially in the life sciences, and polysemous abbreviations appear frequently, making it difficult to read and understand scientific papers that are outside of a reader's expertise.
  • Thus, we have developed Allie, a database and a search service of abbreviations and their long forms (a.k.a. full forms or definitions).
  • Allie searches for abbreviations and their corresponding long forms in a database that we have generated based on all titles and abstracts in MEDLINE.
  • When a user query matches an abbreviation, Allie returns all potential long forms of the query along with their bibliographic data (i.e. title and publication year).
  • In addition, for each candidate, co-occurring abbreviations and a research field in which it frequently appears in the MEDLINE data are displayed.
  • This function helps users learn about the context in which an abbreviation appears.
  • To deal with synonymous long forms, we use a dictionary called GENA that contains domain-specific terms such as gene, protein or disease names along with their synonymic information.
  • Conceptually identical domain-specific terms are regarded as one term, and then conceptually identical abbreviation-long form pairs are grouped taking into account their appearance in MEDLINE.
  • To keep up with new abbreviations that are continuously introduced, Allie has an automatic update system.
  • In addition, the database of abbreviations and their long forms with their corresponding PubMed IDs is constructed and updated weekly.
  • Database URL: The Allie service is available at http://allie.dbcls.jp/.
  • [MeSH-major] Abbreviations as Topic. Databases as Topic. Search Engine
  • [MeSH-minor] Internet

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  • (PMID = 21498548.001).
  • [ISSN] 1758-0463
  • [Journal-full-title] Database : the journal of biological databases and curation
  • [ISO-abbreviation] Database (Oxford)
  • [Language] eng
  • [Publication-type] Journal Article; Research Support, Non-U.S. Gov't
  • [Publication-country] England
  • [Other-IDs] NLM/ PMC3077826
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