Literature DB >> 18694200

The Cell Line Ontology and its use in tagging cell line names in biomedical text.

Sirarat Sarntivijai1, Alexander S Ade, Brian D Athey, David J States.   

Abstract

Cell lines are used extensively throughout biomedical research, but the nomenclature describing cell lines has not been standardized; many ambiguous names appear in the published literature. The Cell Line Ontology is a well-structured collection of names for cell lines cultured in vitro. This ontology collates names from ATCC, HyperCLDB and MeSH in an informative format and specifies relationships between cell lines including derivation and homolog. Tagging cell line names in text requires an integrated approach.

Mesh：

Year:  2007        PMID： 18694200

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN： 1559-4076


  4 in total

1.  Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS).

Authors:  Uma D Vempati; Caty Chung; Chris Mader; Amar Koleti; Nakul Datar; Dušica Vidović; David Wrobel; Sean Erickson; Jeremy L Muhlich; Gabriel Berriz; Cyril H Benes; Aravind Subramanian; Ajay Pillai; Caroline E Shamu; Stephan C Schürer
Journal:  J Biomol Screen       Date:  2014-02-11

2.  Concept annotation in the CRAFT corpus.

Authors:  Michael Bada; Miriam Eckert; Donald Evans; Kristin Garcia; Krista Shipley; Dmitry Sitnikov; William A Baumgartner; K Bretonnel Cohen; Karin Verspoor; Judith A Blake; Lawrence E Hunter
Journal:  BMC Bioinformatics       Date:  2012-07-09       Impact factor: 3.169

3.  Disease Ontology: a backbone for disease semantic integration.

Authors:  Lynn Marie Schriml; Cesar Arze; Suvarna Nadendla; Yu-Wei Wayne Chang; Mark Mazaitis; Victor Felix; Gang Feng; Warren Alden Kibbe
Journal:  Nucleic Acids Res       Date:  2011-11-12       Impact factor: 16.971

4.  CELDA -- an ontology for the comprehensive representation of cells in complex systems.

Authors:  Stefanie Seltmann; Harald Stachelscheid; Alexander Damaschun; Ludger Jansen; Fritz Lekschas; Jean-Fred Fontaine; Throng Nghia Nguyen-Dobinsky; Ulf Leser; Andreas Kurtz
Journal:  BMC Bioinformatics       Date:  2013-07-17       Impact factor: 3.169
  4 in total

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