The NCBI BioSystems database

The NCBI BioSystems database, found at http://www.ncbi.nlm.nih.gov/biosystems/, centralizes and cross-links existing biological systems databases, increasing their utility and target audience by integrating their pathways and systems into NCBI resources. This integration allows users of NCBI’s Entre...

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Detalles Bibliográficos
Autores principales: Geer, Lewis Y., Marchler-Bauer, Aron, Geer, Renata C., Han, Lianyi, He, Jane, He, Siqian, Liu, Chunlei, Shi, Wenyao, Bryant, Stephen H.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2808896/
https://www.ncbi.nlm.nih.gov/pubmed/19854944
http://dx.doi.org/10.1093/nar/gkp858
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author Geer, Lewis Y.
Marchler-Bauer, Aron
Geer, Renata C.
Han, Lianyi
He, Jane
He, Siqian
Liu, Chunlei
Shi, Wenyao
Bryant, Stephen H.
author_facet Geer, Lewis Y.
Marchler-Bauer, Aron
Geer, Renata C.
Han, Lianyi
He, Jane
He, Siqian
Liu, Chunlei
Shi, Wenyao
Bryant, Stephen H.
author_sort Geer, Lewis Y.
collection PubMed
description The NCBI BioSystems database, found at http://www.ncbi.nlm.nih.gov/biosystems/, centralizes and cross-links existing biological systems databases, increasing their utility and target audience by integrating their pathways and systems into NCBI resources. This integration allows users of NCBI’s Entrez databases to quickly categorize proteins, genes and small molecules by metabolic pathway, disease state or other BioSystem type, without requiring time-consuming inference of biological relationships from the literature or multiple experimental datasets.
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spelling pubmed-28088962010-01-20 The NCBI BioSystems database Geer, Lewis Y. Marchler-Bauer, Aron Geer, Renata C. Han, Lianyi He, Jane He, Siqian Liu, Chunlei Shi, Wenyao Bryant, Stephen H. Nucleic Acids Res Articles The NCBI BioSystems database, found at http://www.ncbi.nlm.nih.gov/biosystems/, centralizes and cross-links existing biological systems databases, increasing their utility and target audience by integrating their pathways and systems into NCBI resources. This integration allows users of NCBI’s Entrez databases to quickly categorize proteins, genes and small molecules by metabolic pathway, disease state or other BioSystem type, without requiring time-consuming inference of biological relationships from the literature or multiple experimental datasets. Oxford University Press 2010-01 2009-10-23 /pmc/articles/PMC2808896/ /pubmed/19854944 http://dx.doi.org/10.1093/nar/gkp858 Text en Published by Oxford University Press 2009. http://creativecommons.org/licenses/by-nc/2.5/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Geer, Lewis Y.
Marchler-Bauer, Aron
Geer, Renata C.
Han, Lianyi
He, Jane
He, Siqian
Liu, Chunlei
Shi, Wenyao
Bryant, Stephen H.
The NCBI BioSystems database
title The NCBI BioSystems database
title_full The NCBI BioSystems database
title_fullStr The NCBI BioSystems database
title_full_unstemmed The NCBI BioSystems database
title_short The NCBI BioSystems database
title_sort ncbi biosystems database
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2808896/
https://www.ncbi.nlm.nih.gov/pubmed/19854944
http://dx.doi.org/10.1093/nar/gkp858
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