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    BacDive

    From Wikipedia - Reading time: 4 min
    BacDive
    BacDive logo.png
    Content
    Descriptioninformation about bacterial and archaeal strains
    Data types
    captured    		metadata
    Contact
    Research centerLeibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures GmbH
    Primary citationPMID 26424852
    Release date2012
    Access
    Websitehttp://bacdive.dsmz.de/
    Web service URLhttp://bacdive.dsmz.de/api/

    BacDive (the Bacterial Diversity Metadatabase) is a bacterial metadatabase that provides strain-linked information about bacterial and archaeal biodiversity.

    Introduction[edit]

    BacDive is a resource for different kind of metadata like taxonomy, morphology, physiology, environment and molecular-biology. [1][2][3][4][5][6] The majority of data is manually annotated and curated. With the release in July 2018 BacDive offers information for 63,669 strains.[7] The database is hosted by the Leibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures GmbH and is part of de.NBI the German Network for Bioinformatics Infrastructure.

    Content and Features[edit]

    Database[edit]

    The July 2018 release of the database encompassed over 600 different data fields, divided into the categories "Name and taxonomic classification", "Morphology and physiology", "Culture and growth conditions," "Isolation, sampling and environmental information." "Application and interaction", "Molecular biology" and "Strain availability". The database comprised 712,958 entries, linked to the according strain and reference.[7] The data are retrieved from internal descriptions of culture collections, expert-compiled compendia on strains and primary scientific literature.

    Data access[edit]

    Data can be accessed either via a GUI or via the RESTful web service. Using the GUI the user can choose between a simple search for searching the main fields like taxonomy or strain ID, or the user can use the advanced search, which enables the search in 130 data fields and gives the opportunity of complex queries by combining several fields. Data can be downloaded in PDF format (for single strains) or in CSV format for larger data sets (for multiple strains). Via the web service portal not only BacDive content, but also the taxon reference list Prokaryotic Nomenclature Up-To-Date can be accessed.

    Other databases[edit]

    For data that are outside the focus of BacDive, links to other databases are provided that deliver strain-associated data:

    References[edit]

    1. ^ Söhngen, C; Boyke, B; Podstawka, A; Gleim, D; Overmann, J (October 13, 2013). "BacDive - The Bacterial Diversity Metadatabase". Nucleic Acids Research. 42 (Database issue): D592–D599. doi:10.1093/nar/gkt1058. PMC 3965005. PMID 24214959.
    2. ^ Fernández-Suárez, X. M.; Rigden, D. J.; Galperin, M. Y. (December 5, 2013). "The 2014 Nucleic Acids Research Database Issue and an updated NAR online Molecular Biology Database Collection". Nucleic Acids Research. 42 (Database issue): D1–D6. doi:10.1093/nar/gkt1282. PMC 3965027. PMID 24316579.
    3. ^ Cohan lab (October 23, 2015). "DSMZ's BacDive Bacterial Diversity Database".
    4. ^ Abu-Jamous, Basel; Fa, Rui; Nandi, Asoke K. (2015). Integrative Cluster Analysis in Bioinformatics. John Wiley & Sons. p. 448. ISBN 9781118906552.
    5. ^ Zhulin, I. B. (August 1, 2015). "Databases for Microbiologists". Journal of Bacteriology. 197 (15): 2458–2467. doi:10.1128/JB.00330-15. PMC 4505447. PMID 26013493.
    6. ^ Söhngen, C; Podstawka, A; Boyke, B; Gleim, D; Vetcininova, A; Reimer, LC; Ebeling, C; Pendarovski, C; Overmann, J (September 30, 2015). "BacDive - The Bacterial Diversity Metadatabase in 2016". Nucleic Acids Research. 44 (Database issue): D581–D585. doi:10.1093/nar/gkv983. PMC 4702946. PMID 26424852.
    7. ^ a b Reimer, LC; Vetcininova, A; Sardà Carbasse, J; Söhngen, C; Gleim, D; Ebeling, C; Overmann, J (September 17, 2018). "BacDive in 2019: bacterial phenotypic data for High-throughput biodiversity analysis". Nucleic Acids Research. 47 (Database issue): D631–D636. doi:10.1093/nar/gky879. PMC 6323973. PMID 30256983.

    External links[edit]

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