ZEAMAP, a comprehensive database adapted to the maize multi-omics era

Gui, S.; Yang, L.; Li, J.; Luo, J.; Xu, X.; Yuan, J.; Chen, L.; Li, W.; Yang, X.; Wu, S.; Li, S.; Wang, Y.; Zhu, Y.; Gao, Q.; Yang, N.; Yan, J.

doi:10.1101/2020.01.04.894626

bioRxiv · 10.1101/2020.01.04.894626

ZEAMAP, a comprehensive database adapted to the maize multi-omics era

Gui, S.·Yang, L.·Li, J.·Luo, J.·Xu, X.·Yuan, J.·Chen, L.·Li, W.·Yang, X.·Wu, S.·Li, S.·Wang, Y.·Zhu, Y.·Gao, Q.·Yang, N.·Yan, J.

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Abstract

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 (http://www.zeamap.com), 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 domestication selection signals between teosinte and maize. ZEAMAP is user-friendly, with the ability to interactively integrate, visualize and cross-reference multiple different omics datasets.

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Gui, S., Yang, L., Li, J., Luo, J., Xu, X., Yuan, J., Chen, L., Li, W., Yang, X., Wu, S., Li, S., Wang, Y., Zhu, Y., Gao, Q., Yang, N., Yan, J.. 2020-01-06. ZEAMAP, a comprehensive database adapted to the maize multi-omics era. https://doi.org/10.1101/2020.01.04.894626

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