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SNP analysis to results (SNPator): a web-based environment oriented to statistical genomics analyses upon SNP data
- Source :
- Bioinformatics. 24:1643-1644
- Publication Year :
- 2008
- Publisher :
- Oxford University Press (OUP), 2008.
-
Abstract
- Summary: Single nucleotide polymorphisms (SNPs) are the most widely used marker in studies to assess associations between genetic variants and complex traits or diseases. They are also becoming increasingly important in the study of the evolution and history of humans and other species. The analysis and processing of SNPs obtained thanks to high-throughput technologies imply the time consuming and costly use of different, complex and usually format-incompatible software. SNPator is a user-friendly web-based SNP data analysis suite that integrates, among many other algorithms, the most common steps of a SNP association study. It frees the user from the need to have large computer facilities and an in depth knowledge of genetic software installation and management. Genotype data is directly read from the output files of the usual genotyping platforms. Phenotypic data on the samples can also be easily uploaded. Many different quality control and analysis procedures can be performed either by using built-in SNPator algorithms or by calling standard genetic software. Availability: Access is granted from the SNPator webpage http://www.snpator.org. Contact: arcadi.navarro@upf.edu; bioinformatica.cegen@upf.edu Supplementary information: Additional information, including tutorials and example datasets, is available from SNPator's webpage.
- Subjects :
- Quality Control
Statistics and Probability
Genotype
Single-nucleotide polymorphism
Genomics
Biology
computer.software_genre
Polymorphism, Single Nucleotide
Biochemistry
Evolution, Molecular
Upload
Software
Species Specificity
Web page
Animals
Humans
Molecular Biology
Internet
Models, Statistical
business.industry
Suite
Computational Biology
Biological Evolution
Computer Science Applications
Computational Mathematics
Phenotype
Computational Theory and Mathematics
The Internet
Data mining
business
computer
Algorithms
SNP array
Subjects
Details
- ISSN :
- 13674811 and 13674803
- Volume :
- 24
- Database :
- OpenAIRE
- Journal :
- Bioinformatics
- Accession number :
- edsair.doi.dedup.....1a754ef15370e3a48cd3ea21ed5c6e9f