Welcome to
the MouseNet server
- MouseNet v. 1
MouseNet
v. 1 is a probabilistic functional gene network of M. musculus
genes, constructed from ~20 million expermental observations from DNA
microarrays, physical protein interactions, genetic interactions,
literature, and comparative genomics methods. In total, MouseNet covers
> ~20 million associations among ~95% of the total mouse genes,
with all associations indicating that the linked gene pairs are likely to function together.
MouseNet was constructed using a probabilistic integration of diverse
data types, with each data type weighted according to how well it links
genes that are known to share Gene Ontology functions. Each interaction
in MouseNet has an associated confidence score that measures the
probability of an interaction representing a true functional linkage
between two genes.
MouseNet v. 1 reference:
Wan Kyu Kim*, Chase Krumpelman*, and Edward M. Marcotte. Inferring mouse
gene functions from genomic-scale data using a combined functional
network/classification strategy (Genome Biology, under review).
*Equal contributions
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