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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...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
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
Descripción
Sumario: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.