HortGenome Search Engine, a universal genomic search engine for horticultural crops

被引:1
|
作者
Wang, Sen [1 ,2 ]
Wei, Shangxiao [1 ,2 ]
Deng, Yuling [1 ,2 ]
Wu, Shaoyuan [1 ,2 ]
Peng, Haixu [1 ,2 ]
Qing, You [1 ,2 ]
Zhai, Xuyang [1 ,2 ]
Zhou, Shijie [1 ,2 ]
Li, Jinrong [1 ,2 ]
Li, Hua [1 ,2 ]
Feng, Yijian [1 ,2 ]
Yi, Yating [1 ,2 ]
Li, Rui [1 ,2 ]
Zhang, Hui [1 ,2 ]
Wang, Yiding [5 ]
Zhang, Renlong [5 ]
Ning, Lu [2 ,6 ]
Yao, Yuncong [1 ]
Fei, Zhangjun [3 ,4 ]
Zheng, Yi [1 ,2 ]
机构
[1] Beijing Univ Agr, Coll Plant Sci & Technol, Beijing Key Lab Agr Applicat & New Tech, Beijing 102206, Peoples R China
[2] Beijing Univ Agr, Bioinformat Ctr, Beijing 102206, Peoples R China
[3] Cornell Univ, Boyce Thompson Inst, Ithaca, NY 14853 USA
[4] USDA ARS, Robert W Holley Ctr Agr & Hlth, Ithaca, NY 14853 USA
[5] Beijing Univ Agr, Coll Intelligent Sci & Engn, Beijing 102206, Peoples R China
[6] Beijing Univ Agr, Lib, Beijing 102206, Peoples R China
关键词
D O I
10.1093/hr/uhae100
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Horticultural crops comprising fruit, vegetable, ornamental, beverage, medicinal and aromatic plants play essential roles in food security and human health, as well as landscaping. With the advances of sequencing technologies, genomes for hundreds of horticultural crops have been deciphered in recent years, providing a basis for understanding gene functions and regulatory networks and for the improvement of horticultural crops. However, these valuable genomic data are scattered in warehouses with various complex searching and displaying strategies, which increases learning and usage costs and makes comparative and functional genomic analyses across different horticultural crops very challenging. To this end, we have developed a lightweight universal search engine, HortGenome Search Engine (HSE; http://hort.moilab.net), which allows for the querying of genes, functional annotations, protein domains, homologs, and other gene-related functional information of more than 500 horticultural crops. In addition, four commonly used tools, including 'BLAST', 'Batch Query', 'Enrichment analysis', and 'Synteny Viewer' have been developed for efficient mining and analysis of these genomic data.
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页数:10
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