OysterDB: A Genome Database for Ostreidae.
Bioinformatic tools
Database
Genome
Oyster
Journal
Marine biotechnology (New York, N.Y.)
ISSN: 1436-2236
Titre abrégé: Mar Biotechnol (NY)
Pays: United States
ID NLM: 100892712
Informations de publication
Date de publication:
01 Jun 2024
01 Jun 2024
Historique:
received:
25
03
2024
accepted:
23
05
2024
medline:
1
6
2024
pubmed:
1
6
2024
entrez:
31
5
2024
Statut:
aheadofprint
Résumé
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/ ).
Identifiants
pubmed: 38822152
doi: 10.1007/s10126-024-10327-7
pii: 10.1007/s10126-024-10327-7
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Shandong Province Agriculture Research System Project
ID : 2022LZGCQY010, 2021ZLGX03 and 2021TSGC1240
Organisme : China Agriculture Research System Project
ID : CARS-49
Informations de copyright
© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
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