EDomics: a comprehensive and comparative multi-omics database for animal evo-devo
| Autor: | Jiankai Wei, Penghui Liu, Fuyun Liu, An Jiang, Jinghan Qiao, Zhongqi Pu, Bingrou Wang, Jin Zhang, Dongning Jia, Yuli Li, Shi Wang, Bo Dong |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Nucleic Acids Research. 51:D913-D923 |
| ISSN: | 1362-4962 0305-1048 |
| Popis: | Evolutionary developmental biology (evo-devo) has been among the most fascinating interdisciplinary fields for decades, which aims to elucidate the origin and evolution of diverse developmental processes. The rapid accumulation of omics data provides unprecedented opportunities to answer many interesting but unresolved evo-devo questions. However, the access and utilization of these resources are hindered by challenges particularly in non-model animals. Here, we establish a comparative multi-omics database for animal evo-devo (EDomics, http://edomics.qnlm.ac) containing comprehensive genomes, bulk transcriptomes, and single-cell data across 40 representative species, many of which are generally used as model organisms for animal evo-devo study. EDomics provides a systematic view of genomic/transcriptomic information from various aspects, including genome assembly statistics, gene features and families, transcription factors, transposable elements, and gene expressional profiles/networks. It also exhibits spatiotemporal gene expression profiles at a single-cell level, such as cell atlas, cell markers, and spatial-map information. Moreover, EDomics provides highly valuable, customized datasets/resources for evo-devo research, including gene family expansion/contraction, inferred core gene repertoires, macrosynteny analysis for karyotype evolution, and cell type evolution analysis. EDomics presents a comprehensive and comparative multi-omics platform for animal evo-devo community to decipher the whole history of developmental evolution across the tree of life. |
| Databáze: | OpenAIRE |
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