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Related Concept Videos

Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Microbial Biosensors01:17

Microbial Biosensors

Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...

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Biomarker Identification for Gender Specificity of Alzheimer's Disease Based on the Glial Transcriptome Profiles
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bioDBnet: the biological database network.

Uma Mudunuri1, Anney Che, Ming Yi

  • 1Advanced Biomedical Computing Center, Advanced Technology Program, SAIC-Frederick Inc., NCI-Frederick, Frederick, MD 21702, USA.

Bioinformatics (Oxford, England)
|January 9, 2009
PubMed
Summary
This summary is machine-generated.

bioDBnet offers integrated access to 153 biological databases, covering genes, proteins, and pathways. This web resource provides updated information and tools for enhanced biological data analysis.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Database Integration

Background:

  • bioDBnet is an online web resource providing interconnected access to biological databases.
  • It integrates commonly used biological databases, currently featuring 153 database identifiers (nodes).

Purpose of the Study:

  • To provide a comprehensive and interconnected online resource for biological databases.
  • To facilitate data access, conversion, and analysis across various biological concepts.

Main Methods:

  • Integration of 153 biological database identifiers (nodes).
  • Development of features for database conversions, reports, and custom navigation.
  • Regular updates to ensure access to the most recent database releases.

Main Results:

  • bioDBnet provides interconnected access to a wide array of biological databases.
  • The resource covers diverse biological aspects, including genes, proteins, and pathways.
  • Tools are available for data conversion, reporting, and navigation, enhancing result quality.

Conclusions:

  • bioDBnet is a valuable online resource for accessing and analyzing integrated biological data.
  • Regular updates ensure the resource remains current with the latest biological database releases.
  • It supports various biological research needs through its comprehensive integration and tools.