TAMAL: an integrated approach to choosing SNPs for genetic studies of human complex traits | Zendy

Bradley M. Hemminger | Zendy; Billy Saelim | Zendy; Patrick F. Sullivan | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

TAMAL: an integrated approach to choosing SNPs for genetic studies of human complex traits

Author(s) -

Bradley M. Hemminger,

Billy Saelim,

Patrick F. Sullivan

Publication year - 2006

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btk025

Subject(s) - international hapmap project , dbsnp , single nucleotide polymorphism , snp genotyping , haplotype , snp , computational biology , genetics , computer science , tag snp , biology , genome browser , haplotype estimation , data mining , genome , genomics , gene , genotype

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).

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research