4.8 Article

BacDive in 2022: the knowledge base for standardized bacterial and archaeal data

期刊

NUCLEIC ACIDS RESEARCH
卷 50, 期 D1, 页码 D741-D746

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OXFORD UNIV PRESS
DOI: 10.1093/nar/gkab961

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资金

  1. Federal Ministry of Education and Research (BMBF) [de.NBI 021A539C]
  2. Deutsche Forschungsgemeinschaft (DFG) (German Federation for Biological Data (GFBio)) [OV 20/20-1]

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BacDive, the bacterial metadatabase, has become a leading database for standardized prokaryotic data on strain level, offering a wealth of information for bacterial and archaeal strains. The database has seen a 30% increase in data over the past three years, with new features such as a query builder tool and an interactive dashboard for statistical overview. Improved genomic sequence data and integration with other databases further enhance the usability and accessibility of the data.
The bacterial metadatabase BacDive (https://bacdive.dsmz.de) has developed into a leading database for standardized prokaryotic data on strain level. With its current release (07/2021) the database offers information for 82 892 bacterial and archaeal strains covering taxonomy, morphology, cultivation, metabolism, origin, and sequence information within 1048 data fields. By integrating high-quality data from additional culture collections as well as detailed information from species descriptions, the amount of data provided has increased by 30% over the past three years. A newly developed query builder tool in the advanced search now allows complex database queries. Thereby bacterial strains can be systematically searched based on combinations of their attributes, e.g. growth and metabolic features for biotechnological applications or to identify gaps in the present knowledge about bacteria. A new interactive dashboard provides a statistic overview over the most important data fields. Additional new features are improved genomic sequence data, integrated NCBI TaxIDs and links to BacMedia, the new sister database on cultivation media. To improve the findability and interpretation of data through search engines, data in BacDive are annotated with bioschemas.org terms.

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