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PlantGSAD: a comprehensive gene set annotation database for plant species

With the accumulation of massive data sets from high-throughput experiments and the rapid emergence of new types of omics data, gene sets have become more diverse and essential for the refinement of gene annotation at multidimensional levels. Accordingly, we collected and defined 236 007 gene sets a...

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Autores principales: Ma, Xuelian, Yan, Hengyu, Yang, Jiaotong, Liu, Yue, Li, Zhongqiu, Sheng, Minghao, Cao, Yaxin, Yu, Xinyue, Yi, Xin, Xu, Wenying, Su, Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728169/
https://www.ncbi.nlm.nih.gov/pubmed/34534340
http://dx.doi.org/10.1093/nar/gkab794
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author Ma, Xuelian
Yan, Hengyu
Yang, Jiaotong
Liu, Yue
Li, Zhongqiu
Sheng, Minghao
Cao, Yaxin
Yu, Xinyue
Yi, Xin
Xu, Wenying
Su, Zhen
author_facet Ma, Xuelian
Yan, Hengyu
Yang, Jiaotong
Liu, Yue
Li, Zhongqiu
Sheng, Minghao
Cao, Yaxin
Yu, Xinyue
Yi, Xin
Xu, Wenying
Su, Zhen
author_sort Ma, Xuelian
collection PubMed
description With the accumulation of massive data sets from high-throughput experiments and the rapid emergence of new types of omics data, gene sets have become more diverse and essential for the refinement of gene annotation at multidimensional levels. Accordingly, we collected and defined 236 007 gene sets across different categories for 44 plant species in the Plant Gene Set Annotation Database (PlantGSAD). These gene sets were divided into nine main categories covering many functional subcategories, such as trait ontology, co-expression modules, chromatin states, and liquid-liquid phase separation. The annotations from the collected gene sets covered all of the genes in the Brassicaceae species Arabidopsis and Poaceae species Oryza sativa. Several GSEA tools are implemented in PlantGSAD to improve the efficiency of the analysis, including custom SEA for a flexible strategy based on customized annotations, SEACOMPARE for the cross-comparison of SEA results, and integrated visualization features for ontological analysis that intuitively reflects their parent-child relationships. In summary, PlantGSAD provides numerous gene sets for multiple plant species and highly efficient analysis tools. We believe that PlantGSAD will become a multifunctional analysis platform that can be used to predict and elucidate the functions and mechanisms of genes of interest. PlantGSAD is publicly available at http://systemsbiology.cau.edu.cn/PlantGSEAv2/.
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spelling pubmed-87281692022-01-05 PlantGSAD: a comprehensive gene set annotation database for plant species Ma, Xuelian Yan, Hengyu Yang, Jiaotong Liu, Yue Li, Zhongqiu Sheng, Minghao Cao, Yaxin Yu, Xinyue Yi, Xin Xu, Wenying Su, Zhen Nucleic Acids Res Database Issue With the accumulation of massive data sets from high-throughput experiments and the rapid emergence of new types of omics data, gene sets have become more diverse and essential for the refinement of gene annotation at multidimensional levels. Accordingly, we collected and defined 236 007 gene sets across different categories for 44 plant species in the Plant Gene Set Annotation Database (PlantGSAD). These gene sets were divided into nine main categories covering many functional subcategories, such as trait ontology, co-expression modules, chromatin states, and liquid-liquid phase separation. The annotations from the collected gene sets covered all of the genes in the Brassicaceae species Arabidopsis and Poaceae species Oryza sativa. Several GSEA tools are implemented in PlantGSAD to improve the efficiency of the analysis, including custom SEA for a flexible strategy based on customized annotations, SEACOMPARE for the cross-comparison of SEA results, and integrated visualization features for ontological analysis that intuitively reflects their parent-child relationships. In summary, PlantGSAD provides numerous gene sets for multiple plant species and highly efficient analysis tools. We believe that PlantGSAD will become a multifunctional analysis platform that can be used to predict and elucidate the functions and mechanisms of genes of interest. PlantGSAD is publicly available at http://systemsbiology.cau.edu.cn/PlantGSEAv2/. Oxford University Press 2021-09-17 /pmc/articles/PMC8728169/ /pubmed/34534340 http://dx.doi.org/10.1093/nar/gkab794 Text en © The Author(s) 2021. 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 (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
Ma, Xuelian
Yan, Hengyu
Yang, Jiaotong
Liu, Yue
Li, Zhongqiu
Sheng, Minghao
Cao, Yaxin
Yu, Xinyue
Yi, Xin
Xu, Wenying
Su, Zhen
PlantGSAD: a comprehensive gene set annotation database for plant species
title PlantGSAD: a comprehensive gene set annotation database for plant species
title_full PlantGSAD: a comprehensive gene set annotation database for plant species
title_fullStr PlantGSAD: a comprehensive gene set annotation database for plant species
title_full_unstemmed PlantGSAD: a comprehensive gene set annotation database for plant species
title_short PlantGSAD: a comprehensive gene set annotation database for plant species
title_sort plantgsad: a comprehensive gene set annotation database for plant species
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728169/
https://www.ncbi.nlm.nih.gov/pubmed/34534340
http://dx.doi.org/10.1093/nar/gkab794
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