OysterDB: 牡蛎科基因组数据库。

IF 2.6 3区 生物学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Xinchun Li, Yitian Bai, Chengxun Xu, Shikai Liu, Hong Yu, Lingfeng Kong, Shaojun Du, Qi Li
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引用次数: 0

摘要

蚝科(俗称牡蛎)是一个重要的软体动物类群,具有重要的经济和生态价值。近年来,大量牡蛎科物种的基因组数据已经产生并公开。然而,目前仍缺乏一个高效的数据库平台来存储和发布这些数据。在这项研究中,我们开发了一个牡蛎基因组数据库(OysterDB)来整合牡蛎基因组数据。该数据库包括 8 个牡蛎基因组和 208923 个蛋白质编码基因注释。该数据库集成了BLAST和JBrowse等生物信息学工具,为同源序列搜索、基因组可视化和候选基因信息筛选提供了一个用户友好的平台。此外,OysterDB 将随着牡蛎基因组资源的不断增长而持续更新,为今后牡蛎的比较和功能基因组分析研究提供便利 ( http://oysterdb.com.cn/ )。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

OysterDB: A Genome Database for Ostreidae

OysterDB: A Genome Database for Ostreidae

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/).

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来源期刊
Marine Biotechnology
Marine Biotechnology 工程技术-海洋与淡水生物学
CiteScore
4.80
自引率
3.30%
发文量
95
审稿时长
2 months
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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