文献类型： 外文期刊
作者： Wang, Yuanyuan 1 ; Yang, Yexin 1 ; Liu, Yi 1 ; Liu, Chao 1 ; Xu, Meng 1 ; Fang, Miao 1 ; Mu, Xidong 1 ;
作者机构： 1.Chinese Acad Fishery Sci, Pearl River Fisheries Res Inst, Guangdong Modern Recreat Fisheries Engn Technol Ct, Key Lab Prevent & Control Aquat Invas Alien Specie, 1 Xingyu Rd, Guangzhou 510380, Peoples R China
2.Guangdong Prov Key Lab Aquat Anim Immunol & Sustai, 1 Xingyu Rd, Guangzhou 510380, Peoples R China
期刊名称：DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION （ 影响因子：5.8； 五年影响因子：4.6 ）
ISSN： 1758-0463
年卷期： 2024 年 2024 卷
页码：
收录情况： SCI
摘要： Fish, being a crucial component of aquatic ecosystems, holds significant importance from both economic and ecological perspectives. However, the identification of fish at the species level remains challenging, and there is a lack of a taxonomically complete and comprehensive reference sequence database for fish. Therefore, we developed CoSFISH, an online fish database. Currently, the database contains 21 535 cytochrome oxidase I sequences and 1074 18S rRNA sequences of 21 589 species, belonging to 8 classes and 90 orders. We additionally incorporate online analysis tools to aid users in comparing, aligning and analyzing sequences, as well as designing primers. Users can upload their own data for analysis, in addition to using the data stored in the database directly. CoSFISH offers an extensive fish database and incorporates online analysis tools, making it a valuable resource for the study of fish diversity, phylogenetics and biological evolution.Database URL: http://210.22.121.250:8888/CoSFISH/home/indexPage.
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