Mouse Genome Informatics (MGI, http://www.informatics.jax.org) provides free access to mouse genetic, genomic and biological data in support of mouse as a model for human biology and disease. Here we describe MGI’s newly implemented SNP searching and analysis tools that provide greater flexibility for researchers to explore and extract SNP data. The new SNPs query form includes data from 88 inbred strains from dbSNP. Using search options such as multiple genes search, genome coordinates search, strains of interest search, and comparison reference strain, results returned highlight allele variation at each available genomic location, dbSNP, links to MGI and other genome browsers, etc. SNP results also can be filtered by additional criteria such as restricting results to coding or non-coding sequences. The application of mouse SNPs data is extensive. Due to the high sequence similarity between human and mouse at the nucleotide and amino-acid level, a knock-in of human SNPs can also be used to study the disease in mouse models. Information from SNPs data is crucial for the understanding of novel or existing mouse strains, QTL mapping for susceptibility to diseases of interest, evaluating copy number variants, applying SNP profiles to drug choices, etc. Our poster will demonstrate the SNPs search tool and function on MGI database. SNP data in MGI is supported by NIH grant HG000330.