Xinchun Li, Yitian Bai, Chengxun Xu, Shikai Liu, Hong Yu, Lingfeng Kong, Shaojun Du, Qi Li
{"title":"OysterDB: A Genome Database for Ostreidae","authors":"Xinchun Li, Yitian Bai, Chengxun Xu, Shikai Liu, Hong Yu, Lingfeng Kong, Shaojun Du, Qi Li","doi":"10.1007/s10126-024-10327-7","DOIUrl":null,"url":null,"abstract":"<div><p>The molluscan family Ostreidae, commonly known as oysters, is an important molluscan group due to its economic and ecological importance. In recent years, an abundance of genomic data of Ostreidae species has been generated and available in public domain. However, there is still a lack of a high-efficiency database platform to store and distribute these data with comprehensive tools. In this study, we developed an oyster genome database (OysterDB) to consolidate oyster genomic data. This database includes eight oyster genomes and 208,923 protein-coding gene annotations. Bioinformatic tools, such as BLAST and JBrowse, are integrated into the database to provide a user-friendly platform for homologous sequence searching, visualization of genomes, and screen for candidate gene information. Moreover, OysterDB will be continuously updated with ever-growing oyster genomic resources and facilitate future studies for comparative and functional genomic analysis of oysters (http://oysterdb.com.cn/).</p></div>","PeriodicalId":690,"journal":{"name":"Marine Biotechnology","volume":"26 4","pages":"827 - 834"},"PeriodicalIF":2.6000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Marine Biotechnology","FirstCategoryId":"99","ListUrlMain":"https://link.springer.com/article/10.1007/s10126-024-10327-7","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The molluscan family Ostreidae, commonly known as oysters, is an important molluscan group due to its economic and ecological importance. In recent years, an abundance of genomic data of Ostreidae species has been generated and available in public domain. However, there is still a lack of a high-efficiency database platform to store and distribute these data with comprehensive tools. In this study, we developed an oyster genome database (OysterDB) to consolidate oyster genomic data. This database includes eight oyster genomes and 208,923 protein-coding gene annotations. Bioinformatic tools, such as BLAST and JBrowse, are integrated into the database to provide a user-friendly platform for homologous sequence searching, visualization of genomes, and screen for candidate gene information. Moreover, OysterDB will be continuously updated with ever-growing oyster genomic resources and facilitate future studies for comparative and functional genomic analysis of oysters (http://oysterdb.com.cn/).
期刊介绍：
Marine Biotechnology welcomes high-quality research papers presenting novel data on the biotechnology of aquatic organisms. The journal publishes high quality papers in the areas of molecular biology, genomics, proteomics, cell biology, and biochemistry, and particularly encourages submissions of papers related to genome biology such as linkage mapping, large-scale gene discoveries, QTL analysis, physical mapping, and comparative and functional genome analysis. Papers on technological development and marine natural products should demonstrate innovation and novel applications.
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