This site provides information on SNPscan, a web-accessible tool for the analysis of single nucleotide polymorphism (SNP) array data. Link to a SNPscan publication here.

SNPscan Click here to use the SNPscan tool click to view sample output
KKISNP Click here to use the KKISNP tool to generate SNP plots and tables
SNPscan browser Click here to visualize SNP data on the UCSC genome browser

Introduction What are SNPs? What is SNPscan?
Sample data Click here to access sample data sets
Download/view the source code SNPscan Perl scripts and R code
Links View links to related software
Credits, privacy policy The SNPscan team; contact information; our privacy policy
Return Return to our lab's homepage

*News* The SNPchip R package implements classes and methods useful for storing, visualizing, and analyzing high density SNP data. SNPchip was inspired by the SNPscan webtool, and has been written by Drs. Robert Scharpf and Ingo Ruczinski in the Dept. of Biostatistics, Johns Hopkins Bloomberg School of Public Health (in collaboration with Jason Ting and Jonathan Pevsner). The R package SNPchip is freely available from the Bioconductor webpage, and the paper describing SNPchip is in PubMed here.

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This page last updated: February 26, 2007.