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- About InnateDB
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InnateDB Annotation
- InnateDB Innate Immunity Genes
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- Download InnateDB Curated Interactions
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- InnateDB Innate Immunity Genes
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- Gene Lists
- Other Interaction Databases
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- Immunology Relevant Databases
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- Advanced Search: Genes and Proteins
- Advanced Search: Interactions
- Advanced Search: By Pathway
- Data Analysis
- Pathway Over-representation Analysis
- Gene Ontology Over-representation Analysis

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Version 5.4

Find out what's new in InnateDB

Start the tour

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Search for genes and proteins of interest.

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Search and visualize experimentally-verified molecular interactions by gene/protein name, interaction type, cell type, etc.

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InnateDB Pathway Analysis enables users to determine which biological pathways are statistically over-represented in a given gene/protein list.

Analysis

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Determine which biological pathways are statistically over-represented in a given gene/protein list.

Analysis

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Build, visualize and analyze the molecular interaction networks that a gene list of interest and their encoded products are components of.

Analysis

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Literature curation of innate immune genes.

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Statistics for manually-curated innate immunity relevant molecular interactions. New manually curated interactions are submitted weekly.

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Genes and proteins
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Pathway Analysis
Gene Ontology Analysis
Network analysis
Innate immune genes
Statistics

A mirror of InnateDB.com hosted by the David Lynn Group in Australia is available at http://innatedb.sahmri.com.

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InnateDB is a publicly available database of the genes, proteins, experimentally-verified interactions and signaling pathways involved in the innate immune response of humans, mice and bovines to microbial infection. The database captures an improved coverage of the innate immunity interactome by integrating known interactions and pathways from major public databases together with manually-curated data into a centralised resource. To date, 18,780 interactions have been manually curated by the InnateDB curation team. The database can be mined as a knowledgebase or used with our integrated bioinformatics and visualization tools for the systems level analysis of the innate immune response.