| Autor: |
Xu Joshua, Kelly Reagan, Zhou Guangxu, Turner Steven A, Ding Don, Harris Stephen C, Hong Huixiao, Fang Hong, Tong Weida |
| Jazyk: |
angličtina |
| Rok vydání: |
2012 |
| Předmět: |
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| Zdroj: |
Human Genomics, Vol 6, Iss 1, p 5 (2012) |
| Druh dokumentu: |
article |
| ISSN: |
1479-7364 |
| DOI: |
10.1186/1479-7364-6-5 |
| Popis: |
Abstract A genetic association study is a complicated process that involves collecting phenotypic data, generating genotypic data, analyzing associations between genotypic and phenotypic data, and interpreting genetic biomarkers identified. SNPTrack is an integrated bioinformatics system developed by the US Food and Drug Administration (FDA) to support the review and analysis of pharmacogenetics data resulting from FDA research or submitted by sponsors. The system integrates data management, analysis, and interpretation in a single platform for genetic association studies. Specifically, it stores genotyping data and single-nucleotide polymorphism (SNP) annotations along with study design data in an Oracle database. It also integrates popular genetic analysis tools, such as PLINK and Haploview. SNPTrack provides genetic analysis capabilities and captures analysis results in its database as SNP lists that can be cross-linked for biological interpretation to gene/protein annotations, Gene Ontology, and pathway analysis data. With SNPTrack, users can do the entire stream of bioinformatics jobs for genetic association studies. SNPTrack is freely available to the public at http://www.fda.gov/ScienceResearch/BioinformaticsTools/SNPTrack/default.htm. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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