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ZEAMAP, a Comprehensive Database Adapted to the Maize Multi-Omics Era
As one of the most extensively cultivated crops, maize (Zea mays L.) has been extensively studied by researchers and breeders for over a century. With advances in high-throughput detection of various omics data, a wealth of multi-dimensional and multi-omics information has been accumulated for maize...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7306594/ https://www.ncbi.nlm.nih.gov/pubmed/32629608 http://dx.doi.org/10.1016/j.isci.2020.101241 |
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author | Gui, Songtao Yang, Linfeng Li, Jianbo Luo, Jingyun Xu, Xiaokai Yuan, Jianyu Chen, Lu Li, Wenqiang Yang, Xin Wu, Shenshen Li, Shuyan Wang, Yuebin Zhu, Yabing Gao, Qiang Yang, Ning Yan, Jianbing |
author_facet | Gui, Songtao Yang, Linfeng Li, Jianbo Luo, Jingyun Xu, Xiaokai Yuan, Jianyu Chen, Lu Li, Wenqiang Yang, Xin Wu, Shenshen Li, Shuyan Wang, Yuebin Zhu, Yabing Gao, Qiang Yang, Ning Yan, Jianbing |
author_sort | Gui, Songtao |
collection | PubMed |
description | As one of the most extensively cultivated crops, maize (Zea mays L.) has been extensively studied by researchers and breeders for over a century. With advances in high-throughput detection of various omics data, a wealth of multi-dimensional and multi-omics information has been accumulated for maize and its wild relative, teosinte. Integration of this information has the potential to accelerate genetic research and generate improvements in maize agronomic traits. To this end, we constructed ZEAMAP, a comprehensive database incorporating multiple reference genomes, annotations, comparative genomics, transcriptomes, open chromatin regions, chromatin interactions, high-quality genetic variants, phenotypes, metabolomics, genetic maps, genetic mapping loci, population structures, and populational DNA methylation signals within maize inbred lines. ZEAMAP is user friendly, with the ability to interactively integrate, visualize, and cross-reference multiple different omics datasets. |
format | Online Article Text |
id | pubmed-7306594 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-73065942020-06-25 ZEAMAP, a Comprehensive Database Adapted to the Maize Multi-Omics Era Gui, Songtao Yang, Linfeng Li, Jianbo Luo, Jingyun Xu, Xiaokai Yuan, Jianyu Chen, Lu Li, Wenqiang Yang, Xin Wu, Shenshen Li, Shuyan Wang, Yuebin Zhu, Yabing Gao, Qiang Yang, Ning Yan, Jianbing iScience Article As one of the most extensively cultivated crops, maize (Zea mays L.) has been extensively studied by researchers and breeders for over a century. With advances in high-throughput detection of various omics data, a wealth of multi-dimensional and multi-omics information has been accumulated for maize and its wild relative, teosinte. Integration of this information has the potential to accelerate genetic research and generate improvements in maize agronomic traits. To this end, we constructed ZEAMAP, a comprehensive database incorporating multiple reference genomes, annotations, comparative genomics, transcriptomes, open chromatin regions, chromatin interactions, high-quality genetic variants, phenotypes, metabolomics, genetic maps, genetic mapping loci, population structures, and populational DNA methylation signals within maize inbred lines. ZEAMAP is user friendly, with the ability to interactively integrate, visualize, and cross-reference multiple different omics datasets. Elsevier 2020-06-06 /pmc/articles/PMC7306594/ /pubmed/32629608 http://dx.doi.org/10.1016/j.isci.2020.101241 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Gui, Songtao Yang, Linfeng Li, Jianbo Luo, Jingyun Xu, Xiaokai Yuan, Jianyu Chen, Lu Li, Wenqiang Yang, Xin Wu, Shenshen Li, Shuyan Wang, Yuebin Zhu, Yabing Gao, Qiang Yang, Ning Yan, Jianbing ZEAMAP, a Comprehensive Database Adapted to the Maize Multi-Omics Era |
title | ZEAMAP, a Comprehensive Database Adapted to the Maize Multi-Omics Era |
title_full | ZEAMAP, a Comprehensive Database Adapted to the Maize Multi-Omics Era |
title_fullStr | ZEAMAP, a Comprehensive Database Adapted to the Maize Multi-Omics Era |
title_full_unstemmed | ZEAMAP, a Comprehensive Database Adapted to the Maize Multi-Omics Era |
title_short | ZEAMAP, a Comprehensive Database Adapted to the Maize Multi-Omics Era |
title_sort | zeamap, a comprehensive database adapted to the maize multi-omics era |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7306594/ https://www.ncbi.nlm.nih.gov/pubmed/32629608 http://dx.doi.org/10.1016/j.isci.2020.101241 |
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