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TOPSAN: a dynamic web database for structural genomics
The Open Protein Structure Annotation Network (TOPSAN) is a web-based collaboration platform for exploring and annotating structures determined by structural genomics efforts. Characterization of those structures presents a challenge since the majority of the proteins themselves have not yet been ch...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013775/ https://www.ncbi.nlm.nih.gov/pubmed/20961957 http://dx.doi.org/10.1093/nar/gkq902 |
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author | Ellrott, Kyle Zmasek, Christian M. Weekes, Dana Sri Krishna, S. Bakolitsa, Constantina Godzik, Adam Wooley, John |
author_facet | Ellrott, Kyle Zmasek, Christian M. Weekes, Dana Sri Krishna, S. Bakolitsa, Constantina Godzik, Adam Wooley, John |
author_sort | Ellrott, Kyle |
collection | PubMed |
description | The Open Protein Structure Annotation Network (TOPSAN) is a web-based collaboration platform for exploring and annotating structures determined by structural genomics efforts. Characterization of those structures presents a challenge since the majority of the proteins themselves have not yet been characterized. Responding to this challenge, the TOPSAN platform facilitates collaborative annotation and investigation via a user-friendly web-based interface pre-populated with automatically generated information. Semantic web technologies expand and enrich TOPSAN’s content through links to larger sets of related databases, and thus, enable data integration from disparate sources and data mining via conventional query languages. TOPSAN can be found at http://www.topsan.org. |
format | Text |
id | pubmed-3013775 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-30137752011-01-03 TOPSAN: a dynamic web database for structural genomics Ellrott, Kyle Zmasek, Christian M. Weekes, Dana Sri Krishna, S. Bakolitsa, Constantina Godzik, Adam Wooley, John Nucleic Acids Res Articles The Open Protein Structure Annotation Network (TOPSAN) is a web-based collaboration platform for exploring and annotating structures determined by structural genomics efforts. Characterization of those structures presents a challenge since the majority of the proteins themselves have not yet been characterized. Responding to this challenge, the TOPSAN platform facilitates collaborative annotation and investigation via a user-friendly web-based interface pre-populated with automatically generated information. Semantic web technologies expand and enrich TOPSAN’s content through links to larger sets of related databases, and thus, enable data integration from disparate sources and data mining via conventional query languages. TOPSAN can be found at http://www.topsan.org. Oxford University Press 2011-01 2010-10-20 /pmc/articles/PMC3013775/ /pubmed/20961957 http://dx.doi.org/10.1093/nar/gkq902 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 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), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Ellrott, Kyle Zmasek, Christian M. Weekes, Dana Sri Krishna, S. Bakolitsa, Constantina Godzik, Adam Wooley, John TOPSAN: a dynamic web database for structural genomics |
title | TOPSAN: a dynamic web database for structural genomics |
title_full | TOPSAN: a dynamic web database for structural genomics |
title_fullStr | TOPSAN: a dynamic web database for structural genomics |
title_full_unstemmed | TOPSAN: a dynamic web database for structural genomics |
title_short | TOPSAN: a dynamic web database for structural genomics |
title_sort | topsan: a dynamic web database for structural genomics |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013775/ https://www.ncbi.nlm.nih.gov/pubmed/20961957 http://dx.doi.org/10.1093/nar/gkq902 |
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