4.4 Article

SNPpath: Characterizing cattle SNPs by enriched pathway terms

Journal

ANIMAL SCIENCE JOURNAL
Volume 83, Issue 4, Pages 279-283

Publisher

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

Keywords

enrichment analysis; gene set; KEGG pathway

Funding

  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]

Ask authors/readers for more resources

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 .

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available