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HortGenome Search Engine, a universal genomic search engine for horticultural crops
Horticulture Research ( IF 8.7 ) Pub Date : 2024-04-08 , DOI: 10.1093/hr/uhae100
Sen Wang 1, 2 , Shangxiao Wei 1, 2 , Yuling Deng 1, 2 , Shaoyuan Wu 1, 2 , Haixu Peng 1, 2 , You Qing 1, 2 , Xuyang Zhai 1, 2 , Shijie Zhou 1, 2 , Jinrong Li 1, 2 , Hua Li 1, 2 , Yijian Feng 1, 2 , Yating Yi 1, 2 , Rui Li 1, 2 , Hui Zhang 1, 2 , Yiding Wang 3 , Renlong Zhang 3 , Lu Ning 2, 4 , Yuncong Yao 1 , Zhangjun Fei 5, 6 , Yi Zheng 1, 2
Affiliation  

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 querying 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.

中文翻译:

HortGenome 搜索引擎,园艺作物通用基因组搜索引擎

园艺作物包括水果、蔬菜、观赏植物、饮料、药用和芳香植物,在粮食安全和人类健康以及景观美化方面发挥着重要作用。近年来,随着测序技术的进步,数百种园艺作物的基因组已被破译,为了解基因功能和调控网络以及园艺作物的改良提供了基础。然而,这些有价值的基因组数据分散在具有各种复杂搜索和显示策略的仓库中,这增加了学习和使用成本,并使不同园艺作物的比较和功能基因组分析变得非常具有挑战性。为此,我们开发了一个轻量级通用搜索引擎HortGenome Search Engine(HSE;http://hort.moilab.net),它允许查询基因、功能注释、蛋白质结构域、同源物和其他基因相关的功能信息500多种园艺作物。此外,还开发了四种常用工具,包括“BLAST”、“批量查询”、“富集分析”和“Synteny Viewer”,用于高效挖掘和分析这些基因组数据。
更新日期:2024-04-08
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