• Publications
  • Influence
BRENDA in 2013: integrated reactions, kinetic data, enzyme function data, improved disease classification: new options and contents in BRENDA
TLDR
The BRENDA (BRaunschweig ENzyme DAtabase) enzyme portal (http://www.brenda-enzymes.org) is the main information system of functional biochemical and molecular enzyme data and provides access to seven interconnected databases. Expand
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BRENDA, the enzyme information system in 2011
TLDR
The BRENDA (BRaunschweig ENzyme Database, http://www.brenda-enzymes.org) enzyme information system is the main collection of enzyme functional and property data for the scientific community. Expand
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BacDive—the Bacterial Diversity Metadatabase
TLDR
BacDive—the Bacterial Diversity Metadatabase (http://bacdive.dsmz.de) merges detailed strain-linked information on the different aspects of bacterial and archaeal biodiversity. Expand
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BacDive – The Bacterial Diversity Metadatabase in 2016
TLDR
BacDive–the Bacterial Diversity Metadatabase (http://bacdive.dsmz.de) provides strain-linked information about bacterial and archaeal biodiversity. Expand
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BacDive in 2019: bacterial phenotypic data for High-throughput biodiversity analysis
TLDR
The bacterial metadatabase BacDive has become a comprehensive resource for structured data on the taxonomy, morphology, physiology, cultivation, isolation and molecular data of prokaryotes. Expand
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The Global Genome Biodiversity Network (GGBN) Data Standard specification
TLDR
The Global Genome Biodiversity Network (GGBN) Data Standard is intended to provide a platform based on a documented agreement to promote the efficient sharing and usage of genomic sample material and associated specimen information in a consistent way. Expand
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Development of a classification scheme for disease-related enzyme information
TLDR
An automatic search and categorization of enzyme and disease related information from title and abstracts of primary publications. Expand
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Mobilization and integration of bacterial phenotypic data-Enabling next generation biodiversity analysis through the BacDive metadatabase.
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 internalExpand
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