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CellLineMiner: a knowledge portal for human cell lines

Experimental models of human tissues and disease phenotypes frequently rely upon immortalized cell lines, which are easily accessible and simple to use due to their infinite capability of cell division. For decades, cell lines have been used to investigate cellular mechanisms of disease and the effi...

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Detalles Bibliográficos
Autores principales: Nakken, Sigve, Johansen, Morten, Fillebeen, Julien, Berge, Ole Petter, Kirkerød, Harald, Jenssen, Tor-Kristian, Hovig, Eivind
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3523228/
https://www.ncbi.nlm.nih.gov/pubmed/23251048
http://dx.doi.org/10.6026/97320630081119
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author Nakken, Sigve
Johansen, Morten
Fillebeen, Julien
Berge, Ole Petter
Kirkerød, Harald
Jenssen, Tor-Kristian
Hovig, Eivind
author_facet Nakken, Sigve
Johansen, Morten
Fillebeen, Julien
Berge, Ole Petter
Kirkerød, Harald
Jenssen, Tor-Kristian
Hovig, Eivind
author_sort Nakken, Sigve
collection PubMed
description Experimental models of human tissues and disease phenotypes frequently rely upon immortalized cell lines, which are easily accessible and simple to use due to their infinite capability of cell division. For decades, cell lines have been used to investigate cellular mechanisms of disease and the efficacy of drugs, most prominently for human cancers. However, the large body of knowledge with respect to human cell lines exists primarily in an unstructured fashion, that is, as free text in the scientific literature. Here we present CellLineMiner, a novel text mining-based web database that provides a comprehensive view of human cell line knowledge. The application offers a simple search in all indexed cell lines, accompanied by a rapid display of all identified literature associations. The CellLineMiner is intended to serve as a knowledge resource companion to the cellular model systems used in biomedical research. AVAILABILITY: CellLineMiner is accessible at http://dev.pubgene.com/cellmine
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spelling pubmed-35232282012-12-18 CellLineMiner: a knowledge portal for human cell lines Nakken, Sigve Johansen, Morten Fillebeen, Julien Berge, Ole Petter Kirkerød, Harald Jenssen, Tor-Kristian Hovig, Eivind Bioinformation Database Experimental models of human tissues and disease phenotypes frequently rely upon immortalized cell lines, which are easily accessible and simple to use due to their infinite capability of cell division. For decades, cell lines have been used to investigate cellular mechanisms of disease and the efficacy of drugs, most prominently for human cancers. However, the large body of knowledge with respect to human cell lines exists primarily in an unstructured fashion, that is, as free text in the scientific literature. Here we present CellLineMiner, a novel text mining-based web database that provides a comprehensive view of human cell line knowledge. The application offers a simple search in all indexed cell lines, accompanied by a rapid display of all identified literature associations. The CellLineMiner is intended to serve as a knowledge resource companion to the cellular model systems used in biomedical research. AVAILABILITY: CellLineMiner is accessible at http://dev.pubgene.com/cellmine Biomedical Informatics 2012-11-13 /pmc/articles/PMC3523228/ /pubmed/23251048 http://dx.doi.org/10.6026/97320630081119 Text en © 2012 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.
spellingShingle Database
Nakken, Sigve
Johansen, Morten
Fillebeen, Julien
Berge, Ole Petter
Kirkerød, Harald
Jenssen, Tor-Kristian
Hovig, Eivind
CellLineMiner: a knowledge portal for human cell lines
title CellLineMiner: a knowledge portal for human cell lines
title_full CellLineMiner: a knowledge portal for human cell lines
title_fullStr CellLineMiner: a knowledge portal for human cell lines
title_full_unstemmed CellLineMiner: a knowledge portal for human cell lines
title_short CellLineMiner: a knowledge portal for human cell lines
title_sort celllineminer: a knowledge portal for human cell lines
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3523228/
https://www.ncbi.nlm.nih.gov/pubmed/23251048
http://dx.doi.org/10.6026/97320630081119
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