{"title":"EGDB: A comprehensive multi-omics database for energy grasses and the epigenomic atlas of pearl millet","authors":"Lin Luo, Dongmei Lin, Jinhui Li, Hao Chen, Qi Qu, Lin Zhang, Yuan Luo, Jiaming Chen, Dingkun Jiang, Peitao Lü, Wenjun Zhu, Hui Lin, Ensi Shao, Haidong Yan, Yarong Jin, Guodong Lu, Zhanxi Lin, LuLu Xun, Fangjie Zhu, Linkai Huang, Jiajing Xiao","doi":"10.1002/imt2.263","DOIUrl":null,"url":null,"abstract":"<p>Given the key role of energy grasses in biomass energy, electricity, biofuels, and carbon sequestration, the Energy Grass Omics Database (EGDB) integrates germplasm data with genomics, transcriptomics, epigenomics, and phenomics data to support functional genomic research on diverse energy grass species. EGDB also currently supplies the largest epigenetic data set of energy grasses: a high-resolution chromatin modification, chromatin accessibility, and gene expression landscape of pearl millet to provide insights into regulatory traits essential for sustainable energy production.\n <figure>\n <div><picture>\n <source></source></picture><p></p>\n </div>\n </figure></p>","PeriodicalId":73342,"journal":{"name":"iMeta","volume":"4 1","pages":""},"PeriodicalIF":23.7000,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/imt2.263","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"iMeta","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/imt2.263","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Given the key role of energy grasses in biomass energy, electricity, biofuels, and carbon sequestration, the Energy Grass Omics Database (EGDB) integrates germplasm data with genomics, transcriptomics, epigenomics, and phenomics data to support functional genomic research on diverse energy grass species. EGDB also currently supplies the largest epigenetic data set of energy grasses: a high-resolution chromatin modification, chromatin accessibility, and gene expression landscape of pearl millet to provide insights into regulatory traits essential for sustainable energy production.
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