is an improved functional gene network for laboratory mouse, Mus musculus, which is the choice for many biomedical researches. To improve the previous version of MouseNet (Genome Biology 2008), a large volume of new microarray data derived from diverse biological contexts has been incorporated. We have also continued to improve machine learning algorithms to infer co-functional links from genomics data. MouseNet v2 now covers 88% of coding genomes with higher accuracy.
Mouse and 8 other model vertebrates
can be studied using MouseNet v2 web server now. We implemented MouseNet v2 web server to generate functional predictions for laboratory mouse and 8 other model vertebrates (rat, chimpanzee, Rhesus macaque, dog, cattle, chicken, western clawed frog, zebrafish) using an orthology-based projection of their genes on MouseNet. MouseNet v2 now provides ‘Find new members of a pathway based on network direct neighbors’ and ‘Infer function from network neighbors’ options for not only mouse but also 8 model vertebrates. MouseNet v2 also provide edge information of gene networks for not only mouse but also 8 model vertebrates from 'Network-download' page. These networks include the integrated networks as well as individual component networks derived from distinct types of data.
How to cite MouseNet
Contact information
Insuk Lee (insuklee (at)
2015.06.20 MouseNet v2 website launched
This work was supported by the National Research Foundation of Korea grant (2012M3A9B4028641, 2012M3A9C7050151), Cancer Prevention and Research Institute of Texas (CPRIT), National Institutes of Health, National Science Foundation, and the Welch foundation (F-1515).