SNPator
SNPator analyzes and processes single nucleotide polymorphisms (SNPs) to support SNP association studies, integration of phenotypic data, quality control, and evolutionary analyses.
Key Features:
- Integration of common analysis steps: Integrates several common steps involved in SNP association studies into a cohesive analytical workflow.
- Compatibility with genotyping platforms: Reads genotype data from output files generated by standard genotyping platforms.
- Phenotypic data integration: Accepts upload of phenotypic data linked to genotyped samples for joint analysis with SNP data.
- Quality control and analysis procedures: Implements a variety of quality control measures and analysis procedures for SNP datasets.
- Algorithms and software interoperability: Includes built-in algorithms and can call standard genetic software for specialized tasks.
Scientific Applications:
- SNP association studies: Facilitates identification of associations between SNPs and complex traits or diseases.
- Evolutionary and population history analyses: Supports investigation of evolutionary patterns and species history using SNP data.
- Data quality assurance: Enables comprehensive quality control to ensure reliability and accuracy of genetic analyses.
Methodology:
Integrates multiple analytical steps into a single workflow, directly ingests genotype output files from genotyping platforms, accepts phenotypic data uploads, and applies built-in algorithms with the option to invoke standard genetic software.
Topics
Details
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 5/24/2016
- Last Updated:
- 12/24/2018
Operations
Publications
Morcillo-Suarez C, Alegre J, Sangros R, Gazave E, de Cid R, Milne R, Amigo J, Ferrer-Admetlla A, Moreno-Estrada A, Gardner M, Casals F, Pérez-Lezaun A, Comas D, Bosch E, Calafell F, Bertranpetit J, Navarro A. SNP analysis to results (SNPator): a web-based environment oriented to statistical genomics analyses upon SNP data. Bioinformatics. 2008;24(14):1643-1644. doi:10.1093/bioinformatics/btn241. PMID:18515823.