EMBiology
EMBiology is a comprehensive biological database and bioinformatics resource that provides detailed information on gene expression, protein interactions, and biological pathways. It is designed to support researchers in the fields of genomics, proteomics, and systems biology by offering a centralized platform for accessing and analyzing biological data.
Overview[edit | edit source]
EMBiology integrates data from various sources, including genomic databases, protein databases, and pathway databases. It allows users to explore the relationships between genes, proteins, and biological processes, facilitating a deeper understanding of cellular functions and disease mechanisms.
Features[edit | edit source]
- Gene Expression Data: EMBiology provides extensive data on gene expression across different tissues, developmental stages, and experimental conditions. This information is crucial for understanding gene regulation and identifying potential biomarkers for diseases.
- Protein Interactions: The database includes detailed information on protein-protein interactions, which are essential for understanding cellular signaling pathways and molecular mechanisms.
- Biological Pathways: EMBiology offers curated information on various biological pathways, enabling researchers to study the complex networks of biochemical reactions and interactions within cells.
Applications[edit | edit source]
EMBiology is widely used in various research areas, including:
- Cancer research: By analyzing gene expression and protein interaction data, researchers can identify potential targets for cancer therapy and understand the molecular basis of tumor development.
- Drug discovery: The database helps in identifying potential drug targets and understanding the mechanisms of action of different compounds.
- Systems biology: EMBiology supports the integration of data from different biological levels, facilitating the study of complex biological systems.
Access and Usage[edit | edit source]
EMBiology is accessible to researchers worldwide through its web-based interface. Users can search for specific genes, proteins, or pathways, and visualize the data using various tools and graphical representations. The database is regularly updated to include the latest research findings and data.
Related Pages[edit | edit source]
- Genomics
- Proteomics
- Systems biology
- Bioinformatics
- Gene expression
- Protein interaction
- Biological pathway
- Cancer research
- Drug discovery
See Also[edit | edit source]
Categories[edit | edit source]
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Contributors: Prab R. Tumpati, MD