About EupDB
Euphorbiaceae has 218 genera and about 6,754 species, which are evolutionarily diverse and have various shape characteristics. Since the total fatty acid content in Euphorbiaceae seeds is about 45%, and the molecular composition of each fatty acid is close to ideal biodiesel, Euphorbiaceae plants have attracted much attention as energy plants. More than 400 cultivars have been introduced in China, and they have become important medicinal and economic crops in the southwest.
Genome sequencing sequences and transcript data for many species of Euphorbiaceae are continuously published and are of great importance in providing researchers and breeders with a valuable genetic resource to improve the traits of this species. However, there is currently no comprehensive database of multiple species of Euphorbiaceae. Therefore, we developed a family-level integrative and comprehensive database for Euphorbiaceae plants, which includes multi-omics resources in 6 species (Euphorbia lathyris, Hevea brasiliensis, Jatropha curcas, Manihot esculenta, Ricinus communis and Vernicia fordii), as well as web-based bioinformatics tools for omics data analysis. In EupDB has six modules and provides more web-based bioinformatics tools such as search by 4 ways, GO/KEGG enrichment analysis, expression heat map, miRNA target prediction, variant information related key agronomic traits, syntenic gene and structure, orthologous groups, PPI network and pathway map, etc.
Comments or Questions
If you have any problem, comments or suggestions about our database, please contact us .
Laboratory: Laboratory of Tropical Plant Resources and Sustainable Use
Institute: Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences
Address: No. 21 Qingsong Road, Ciba, Kunming 650204, Yunnan Province, China
Our Works:
Jatropha curcas Database (JCDB): http://jcdb.liu-lab.com
Zebrafish lncRNA Database (ZFLNC): http://zflnc.org
lncRNA Database (CRISPRlnc): http://crisprlnc.org
Alfalfa Gene Editing Database (AlfalfaGEDB): http://alfalfagedb.liu-lab.com/
The research direction of XTBG Bioinformatics Research Group involves the development of algorithms related to plant functional genome and database construction. If you want to learn more, please visit XTBG Bioinformatics Research Group.