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PCSD: a plant chromatin state database
Genome-wide maps of chromatin states have become a powerful representation of genome annotation and regulatory activity. We collected public and in-house plant epigenomic data sets and applied a Hidden Markov Model to define chromatin states, which included 290 553 (36 chromatin states), 831 235 (38...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753246/ https://www.ncbi.nlm.nih.gov/pubmed/29040761 http://dx.doi.org/10.1093/nar/gkx919 |
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author | Liu, Yue Tian, Tian Zhang, Kang You, Qi Yan, Hengyu Zhao, Nannan Yi, Xin Xu, Wenying Su, Zhen |
author_facet | Liu, Yue Tian, Tian Zhang, Kang You, Qi Yan, Hengyu Zhao, Nannan Yi, Xin Xu, Wenying Su, Zhen |
author_sort | Liu, Yue |
collection | PubMed |
description | Genome-wide maps of chromatin states have become a powerful representation of genome annotation and regulatory activity. We collected public and in-house plant epigenomic data sets and applied a Hidden Markov Model to define chromatin states, which included 290 553 (36 chromatin states), 831 235 (38 chromatin states) and 3 936 844 (26 chromatin states) segments across the whole genome of Arabidopsis thaliana, Oryza sativa and Zea mays, respectively. We constructed a Plant Chromatin State Database (PCSD, http://systemsbiology.cau.edu.cn/chromstates) to integrate detailed information about chromatin states, including the features and distribution of states, segments in states and related genes with segments. The self-organization mapping (SOM) results for these different chromatin signatures and UCSC Genome Browser for visualization were also integrated into the PCSD database. We further provided differential SOM maps between two epigenetic marks for chromatin state comparison and custom tools for new data analysis. The segments and related genes in SOM maps can be searched and used for motif and GO analysis, respectively. In addition, multi-species integration can be used to discover conserved features at the epigenomic level. In summary, our PCSD database integrated the identified chromatin states with epigenetic features and may be beneficial for communities to discover causal functions hidden in plant chromatin. |
format | Online Article Text |
id | pubmed-5753246 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57532462018-01-05 PCSD: a plant chromatin state database Liu, Yue Tian, Tian Zhang, Kang You, Qi Yan, Hengyu Zhao, Nannan Yi, Xin Xu, Wenying Su, Zhen Nucleic Acids Res Database Issue Genome-wide maps of chromatin states have become a powerful representation of genome annotation and regulatory activity. We collected public and in-house plant epigenomic data sets and applied a Hidden Markov Model to define chromatin states, which included 290 553 (36 chromatin states), 831 235 (38 chromatin states) and 3 936 844 (26 chromatin states) segments across the whole genome of Arabidopsis thaliana, Oryza sativa and Zea mays, respectively. We constructed a Plant Chromatin State Database (PCSD, http://systemsbiology.cau.edu.cn/chromstates) to integrate detailed information about chromatin states, including the features and distribution of states, segments in states and related genes with segments. The self-organization mapping (SOM) results for these different chromatin signatures and UCSC Genome Browser for visualization were also integrated into the PCSD database. We further provided differential SOM maps between two epigenetic marks for chromatin state comparison and custom tools for new data analysis. The segments and related genes in SOM maps can be searched and used for motif and GO analysis, respectively. In addition, multi-species integration can be used to discover conserved features at the epigenomic level. In summary, our PCSD database integrated the identified chromatin states with epigenetic features and may be beneficial for communities to discover causal functions hidden in plant chromatin. Oxford University Press 2018-01-04 2017-10-10 /pmc/articles/PMC5753246/ /pubmed/29040761 http://dx.doi.org/10.1093/nar/gkx919 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Liu, Yue Tian, Tian Zhang, Kang You, Qi Yan, Hengyu Zhao, Nannan Yi, Xin Xu, Wenying Su, Zhen PCSD: a plant chromatin state database |
title | PCSD: a plant chromatin state database |
title_full | PCSD: a plant chromatin state database |
title_fullStr | PCSD: a plant chromatin state database |
title_full_unstemmed | PCSD: a plant chromatin state database |
title_short | PCSD: a plant chromatin state database |
title_sort | pcsd: a plant chromatin state database |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753246/ https://www.ncbi.nlm.nih.gov/pubmed/29040761 http://dx.doi.org/10.1093/nar/gkx919 |
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