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SUBA4: the interactive data analysis centre for Arabidopsis subcellular protein locations
The SUBcellular location database for Arabidopsis proteins (SUBA4, http://suba.live) is a comprehensive collection of manually curated published data sets of large-scale subcellular proteomics, fluorescent protein visualization, protein-protein interaction (PPI) as well as subcellular targeting call...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210537/ https://www.ncbi.nlm.nih.gov/pubmed/27899614 http://dx.doi.org/10.1093/nar/gkw1041 |
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author | Hooper, Cornelia M. Castleden, Ian R. Tanz, Sandra K. Aryamanesh, Nader Millar, A. Harvey |
author_facet | Hooper, Cornelia M. Castleden, Ian R. Tanz, Sandra K. Aryamanesh, Nader Millar, A. Harvey |
author_sort | Hooper, Cornelia M. |
collection | PubMed |
description | The SUBcellular location database for Arabidopsis proteins (SUBA4, http://suba.live) is a comprehensive collection of manually curated published data sets of large-scale subcellular proteomics, fluorescent protein visualization, protein-protein interaction (PPI) as well as subcellular targeting calls from 22 prediction programs. SUBA4 contains an additional 35 568 localizations totalling more than 60 000 experimental protein location claims as well as 37 new suborganellar localization categories. The experimental PPI data has been expanded to 26 327 PPI pairs including 856 PPI localizations from experimental fluorescent visualizations. The new SUBA4 user interface enables users to choose quickly from the filter categories: ‘subcellular location’, ‘protein properties’, ‘protein–protein interaction’ and ‘affiliations’ to build complex queries. This allows substantial expansion of search parameters into 80 annotation types comprising 1 150 204 new annotations to study metadata associated with subcellular localization. The ‘BLAST’ tab contains a sequence alignment tool to enable a sequence fragment from any species to find the closest match in Arabidopsis and retrieve data on subcellular location. Using the location consensus SUBAcon, the SUBA4 toolbox delivers three novel data services allowing interactive analysis of user data to provide relative compartmental protein abundances and proximity relationship analysis of PPI and coexpression partners from a submitted list of Arabidopsis gene identifiers. |
format | Online Article Text |
id | pubmed-5210537 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-52105372017-01-05 SUBA4: the interactive data analysis centre for Arabidopsis subcellular protein locations Hooper, Cornelia M. Castleden, Ian R. Tanz, Sandra K. Aryamanesh, Nader Millar, A. Harvey Nucleic Acids Res Database Issue The SUBcellular location database for Arabidopsis proteins (SUBA4, http://suba.live) is a comprehensive collection of manually curated published data sets of large-scale subcellular proteomics, fluorescent protein visualization, protein-protein interaction (PPI) as well as subcellular targeting calls from 22 prediction programs. SUBA4 contains an additional 35 568 localizations totalling more than 60 000 experimental protein location claims as well as 37 new suborganellar localization categories. The experimental PPI data has been expanded to 26 327 PPI pairs including 856 PPI localizations from experimental fluorescent visualizations. The new SUBA4 user interface enables users to choose quickly from the filter categories: ‘subcellular location’, ‘protein properties’, ‘protein–protein interaction’ and ‘affiliations’ to build complex queries. This allows substantial expansion of search parameters into 80 annotation types comprising 1 150 204 new annotations to study metadata associated with subcellular localization. The ‘BLAST’ tab contains a sequence alignment tool to enable a sequence fragment from any species to find the closest match in Arabidopsis and retrieve data on subcellular location. Using the location consensus SUBAcon, the SUBA4 toolbox delivers three novel data services allowing interactive analysis of user data to provide relative compartmental protein abundances and proximity relationship analysis of PPI and coexpression partners from a submitted list of Arabidopsis gene identifiers. Oxford University Press 2017-01-04 2016-11-24 /pmc/articles/PMC5210537/ /pubmed/27899614 http://dx.doi.org/10.1093/nar/gkw1041 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://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/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Issue Hooper, Cornelia M. Castleden, Ian R. Tanz, Sandra K. Aryamanesh, Nader Millar, A. Harvey SUBA4: the interactive data analysis centre for Arabidopsis subcellular protein locations |
title | SUBA4: the interactive data analysis centre for Arabidopsis subcellular protein locations |
title_full | SUBA4: the interactive data analysis centre for Arabidopsis subcellular protein locations |
title_fullStr | SUBA4: the interactive data analysis centre for Arabidopsis subcellular protein locations |
title_full_unstemmed | SUBA4: the interactive data analysis centre for Arabidopsis subcellular protein locations |
title_short | SUBA4: the interactive data analysis centre for Arabidopsis subcellular protein locations |
title_sort | suba4: the interactive data analysis centre for arabidopsis subcellular protein locations |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210537/ https://www.ncbi.nlm.nih.gov/pubmed/27899614 http://dx.doi.org/10.1093/nar/gkw1041 |
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