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Araport: the Arabidopsis Information Portal
The Arabidopsis Information Portal (https://www.araport.org) is a new online resource for plant biology research. It houses the Arabidopsis thaliana genome sequence and associated annotation. It was conceived as a framework that allows the research community to develop and release ‘modules’ that int...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383980/ https://www.ncbi.nlm.nih.gov/pubmed/25414324 http://dx.doi.org/10.1093/nar/gku1200 |
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author | Krishnakumar, Vivek Hanlon, Matthew R. Contrino, Sergio Ferlanti, Erik S. Karamycheva, Svetlana Kim, Maria Rosen, Benjamin D. Cheng, Chia-Yi Moreira, Walter Mock, Stephen A. Stubbs, Joseph Sullivan, Julie M. Krampis, Konstantinos Miller, Jason R. Micklem, Gos Vaughn, Matthew Town, Christopher D. |
author_facet | Krishnakumar, Vivek Hanlon, Matthew R. Contrino, Sergio Ferlanti, Erik S. Karamycheva, Svetlana Kim, Maria Rosen, Benjamin D. Cheng, Chia-Yi Moreira, Walter Mock, Stephen A. Stubbs, Joseph Sullivan, Julie M. Krampis, Konstantinos Miller, Jason R. Micklem, Gos Vaughn, Matthew Town, Christopher D. |
author_sort | Krishnakumar, Vivek |
collection | PubMed |
description | The Arabidopsis Information Portal (https://www.araport.org) is a new online resource for plant biology research. It houses the Arabidopsis thaliana genome sequence and associated annotation. It was conceived as a framework that allows the research community to develop and release ‘modules’ that integrate, analyze and visualize Arabidopsis data that may reside at remote sites. The current implementation provides an indexed database of core genomic information. These data are made available through feature-rich web applications that provide search, data mining, and genome browser functionality, and also by bulk download and web services. Araport uses software from the InterMine and JBrowse projects to expose curated data from TAIR, GO, BAR, EBI, UniProt, PubMed and EPIC CoGe. The site also hosts ‘science apps,’ developed as prototypes for community modules that use dynamic web pages to present data obtained on-demand from third-party servers via RESTful web services. Designed for sustainability, the Arabidopsis Information Portal strategy exploits existing scientific computing infrastructure, adopts a practical mixture of data integration technologies and encourages collaborative enhancement of the resource by its user community. |
format | Online Article Text |
id | pubmed-4383980 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-43839802015-04-08 Araport: the Arabidopsis Information Portal Krishnakumar, Vivek Hanlon, Matthew R. Contrino, Sergio Ferlanti, Erik S. Karamycheva, Svetlana Kim, Maria Rosen, Benjamin D. Cheng, Chia-Yi Moreira, Walter Mock, Stephen A. Stubbs, Joseph Sullivan, Julie M. Krampis, Konstantinos Miller, Jason R. Micklem, Gos Vaughn, Matthew Town, Christopher D. Nucleic Acids Res Database Issue The Arabidopsis Information Portal (https://www.araport.org) is a new online resource for plant biology research. It houses the Arabidopsis thaliana genome sequence and associated annotation. It was conceived as a framework that allows the research community to develop and release ‘modules’ that integrate, analyze and visualize Arabidopsis data that may reside at remote sites. The current implementation provides an indexed database of core genomic information. These data are made available through feature-rich web applications that provide search, data mining, and genome browser functionality, and also by bulk download and web services. Araport uses software from the InterMine and JBrowse projects to expose curated data from TAIR, GO, BAR, EBI, UniProt, PubMed and EPIC CoGe. The site also hosts ‘science apps,’ developed as prototypes for community modules that use dynamic web pages to present data obtained on-demand from third-party servers via RESTful web services. Designed for sustainability, the Arabidopsis Information Portal strategy exploits existing scientific computing infrastructure, adopts a practical mixture of data integration technologies and encourages collaborative enhancement of the resource by its user community. Oxford University Press 2014-11-20 2015-01-28 /pmc/articles/PMC4383980/ /pubmed/25414324 http://dx.doi.org/10.1093/nar/gku1200 Text en © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Issue Krishnakumar, Vivek Hanlon, Matthew R. Contrino, Sergio Ferlanti, Erik S. Karamycheva, Svetlana Kim, Maria Rosen, Benjamin D. Cheng, Chia-Yi Moreira, Walter Mock, Stephen A. Stubbs, Joseph Sullivan, Julie M. Krampis, Konstantinos Miller, Jason R. Micklem, Gos Vaughn, Matthew Town, Christopher D. Araport: the Arabidopsis Information Portal |
title | Araport: the Arabidopsis Information Portal |
title_full | Araport: the Arabidopsis Information Portal |
title_fullStr | Araport: the Arabidopsis Information Portal |
title_full_unstemmed | Araport: the Arabidopsis Information Portal |
title_short | Araport: the Arabidopsis Information Portal |
title_sort | araport: the arabidopsis information portal |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383980/ https://www.ncbi.nlm.nih.gov/pubmed/25414324 http://dx.doi.org/10.1093/nar/gku1200 |
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