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/ ).
Keyphrases
- copy number
- adverse drug
- electronic health record
- genome wide
- high efficiency
- high throughput
- big data
- healthcare
- climate change
- squamous cell carcinoma
- dna methylation
- mental health
- dna damage
- risk assessment
- amino acid
- health information
- transcription factor
- social media
- oxidative stress
- microbial community
- artificial intelligence