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| 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.
Please send questions or comments to ting@kennedykrieger.org or pevsner@kennedykrieger.org.
This page last updated: February 26, 2007.