Related Experiment Video
Updated: Aug 13, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
TAMAL: an integrated approach to choosing SNPs for genetic studies of human complex traits
Bradley M Hemminger1, Billy Saelim, Patrick F Sullivan
1School of Information and Library Science, University of North Carolina at Chapel Hill, NC, USA.
Unlabelled:
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.
Supplementary Information:
http://neoref.ils.unc.edu/tamal/.
Related Concept Videos
Single Nucleotide Polymorphisms-SNPs
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Human Genetics
The complex relationship between genetics and psychology is observable through common biological components such...
Pharmacogenomics: Identification of New Drug Targets
Principles of Pharmacogenetics: Types of Genetic Variants
Comparing Copy Number Variations and SNPs
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
