Horticulture ResearchBioinformaticsPeer-reviewed journal article
HortGenome Search Engine, a universal genomic search engine for horticultural crops
Sen WangiD, Shangxiao Wei, Yuling DengiD, Shaoyuan WuiD, Haixu PengiD, You QingiD, Xuyang Zhai, Shijie ZhouiD, Jinrong Li, Hua LiiD, Yijian FengiD, Yating Yi, Rui LiiD, Hui ZhangiD, Yiding WangiD, Renlong ZhangiD, Lu Ning, Yuncong YaoiD, Zhangjun FeiiD, Yi ZhengiD
Abstract
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 400 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.
- assay: whole-genome sequencing
- research focus: database / resource
- research focus: benchmarking
- research focus: software / tool
- approach: experimental assay
- Citations
- 4
- FWCI
- 0.55
- Field percentile
- top 43%
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