4.4 Article

SNPpath: Characterizing cattle SNPs by enriched pathway terms

期刊

ANIMAL SCIENCE JOURNAL
卷 83, 期 4, 页码 279-283

出版社

WILEY
DOI: 10.1111/j.1740-0929.2011.00952.x

关键词

enrichment analysis; gene set; KEGG pathway

资金

  1. National Natural Science Foundation of China [31000992, 31072003, 30871782]
  2. National High Technology Research and Development Program of China (863 project) [2008AA101002]
  3. Shanghai Jiaotong University [YG2010MS79]

向作者/读者索取更多资源

High-density single nucleotide polymorphism (SNP) microarrays have made large-scale genome-wide association studies (GWAS) and genomic selection (GS) feasible. Valuable insight into the genetic basis underlying complex polygenic traits will likely be gained by considering functionally related sets of genes simultaneously. SNPpath, a suite of computer-generated imagery-based web servers has been developed to automatically annotate and characterize cattle SNPs by enriched KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway terms. The SNPpath allows users to navigate and analysis large SNP sets and is the only web server currently providing pathway annotations of cattle SNPs in National Center for Biotechnology Information's dbSNP database and three commercial platforms. Hence, we describe SNPpath and provide details of the query options, as well as biological examples of use. The SNPpath may be favorable for the analysis of combining SNP association analysis with pathway-driven gene set enrichment analysis and is freely available at .

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