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1.
Nucleic Acids Res ; 47(D1): D631-D636, 2019 01 08.
Artículo en Inglés | MEDLINE | ID: mdl-30256983

RESUMEN

The bacterial metadatabase BacDive (http://bacdive.dsmz.de) has become a comprehensive resource for structured data on the taxonomy, morphology, physiology, cultivation, isolation and molecular data of prokaryotes. With its current release (7/2018) the database offers information for 63 669 bacterial and archaeal strains including 12 715 type strains. During recent developments of BacDive, the enrichment of information on existing strains was prioritized. This has resulted in a 146% increase of database content over the past three years. Especially rich datasets were integrated from 4782 manual annotated species descriptions in the International Journal of Systematic and Evolutionary Microbiology which yielded standardized phenotypic data for 5468 type strains. Another important improvement of content was achieved through the mobilization of 8977 Analytical Profile Index (API®) test results that constitute physiological data for the identification of 5237 strains. BacDive offers a unique API® data collection with respect to size and diversity. In addition, data on fatty acid profiles and antibiotic susceptibility tests were integrated. A revised graphical user interface and new search tools such as the API® test finder, the TAXplorer, or the Microbial Isolation Source Search significantly improve the user experience.


Asunto(s)
Genoma Bacteriano , Genómica/métodos , Microbiota , Fenotipo , Programas Informáticos , Farmacorresistencia Bacteriana/genética , Variación Genética , Genómica/normas
2.
Nucleic Acids Res ; 44(D1): D581-5, 2016 Jan 04.
Artículo en Inglés | MEDLINE | ID: mdl-26424852

RESUMEN

BacDive-the Bacterial Diversity Metadatabase (http://bacdive.dsmz.de) provides strain-linked information about bacterial and archaeal biodiversity. The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology. The majority of data is manually annotated and curated. Currently (with release 9/2015), BacDive covers 53 978 strains. Newly implemented RESTful web services provide instant access to the content in machine-readable XML and JSON format. Besides an overall increase of data content, BacDive offers new data fields and features, e.g. the search for gene names, plasmids or 16S rRNA in the advanced search, as well as improved linkage of entries to external life science web resources.


Asunto(s)
Archaea , Bacterias , Biodiversidad , Bases de Datos Factuales , Actinobacteria/clasificación , Actinobacteria/citología , Actinobacteria/metabolismo , Actinobacteria/fisiología , Archaea/clasificación , Archaea/citología , Archaea/genética , Archaea/fisiología , Bacterias/clasificación , Bacterias/citología , Bacterias/genética , Fenómenos Fisiológicos Bacterianos , Microbiología Ambiental , Internet
3.
J Biotechnol ; 261: 187-193, 2017 Nov 10.
Artículo en Inglés | MEDLINE | ID: mdl-28487186

RESUMEN

Microbial data and metadata are scattered throughout the scientific literature, databases and unpublished lab notes and thereby often are difficult to access. Hot spots of (meta)data are internal descriptions of culture collections and initial descriptions of novel taxa in primary literature. Here we describe three exemplary mobilization projects which yielded metadata published through the prokaryotic metadatabase BacDive. The Reichenbach collection of myxobacteria includes information on 12,535 typewritten index cards which were digitized. A total of 37,156 data points were extracted by text mining. In the second mobilization project, Analytical Profile Index (API) tests on paper forms were targeted. Overall 6820 API tests were digitized, which provide physiological data of 4524 microbial strains. Thirdly, the extraction of metadata from 523 new species descriptions of the International Journal of Systematic and Evolutionary Microbiology, yielding 35,651 data points, is described. All data sets were integrated and published in BacDive. Thereby these metadata not only became accessible and searchable but were also linked to strain taxonomy, isolation source, cultivation condition, and molecular biology data.


Asunto(s)
Bacterias , Biodiversidad , Biología Computacional , Bases de Datos Genéticas , Bacterias/genética , Bacterias/metabolismo , Sistemas de Administración de Bases de Datos , Fenotipo
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