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Bioinformatics Advance Access originally published online on January 17, 2006
Bioinformatics 2006 22(5):626-627; doi:10.1093/bioinformatics/btk025
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© The Author 2006. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org
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TAMAL: an integrated approach to choosing SNPs for genetic studies of human complex traits

Bradley M. Hemminger 1, Billy Saelim 1 and Patrick F. Sullivan 2,3,*

1School of Information and Library Science, University of North Carolina at Chapel Hill Chapel Hill NC, USA
2Department of Genetics, University of North Carolina at Chapel Hill Chapel Hill NC, USA
3Department of Medical Epidemiology and Biostatistics, Karolinska Institutet Stockholm, Sweden

*To whom correspondence should be addressed.

Summary: Investigators conducting studies of the molecular genetics of complex traits in humans often need rationally to select a set of single nucleotide polymorphisms (SNPs) from the hundreds or thousands available for a candidate gene. Accomplishing this requires integration of genomic data from distributed databases and is both time-consuming and error-prone. We developed the TAMAL (Technology And Money Are Limiting) web site to help identify promising SNPs for further investigation. For a given list of genes, TAMAL identifies SNPs that meet user-specified criteria (e.g. haplotype tagging SNPs or SNP predicted to lead to amino acid changes) from current versions of online resources (i.e. HapMap, Perlegen, Affymetrix, dbSNP and the UCSC genome browser).

Availability: TAMAL is a platform independent web-based application available free of charge at http://neoref.ils.unc.edu/tamal

Contact: pfsulliv{at}med.unc.edu

Supplementary information: http://neoref.ils.unc.edu/tamal/

Received on November 16, 2005; revised on December 20, 2005; accepted on December 23, 2005

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