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SNP analysis to results (SNPator): a web-based environment oriented to statistical genomics analyses upon SNP data

Authors :
Andrés Moreno-Estrada
Josep Alegre
Michelle Gardner
Ricardo Sangros
Ferran Casals
Elodie Gazave
Elena Bosch
Francesc Calafell
Anna Pérez-Lezaun
Carlos Morcillo-Suarez
Arcadi Navarro
Jaume Bertranpetit
Rafael de Cid
David Comas
Jorge Amigo
Roger L. Milne
Anna Ferrer-Admetlla
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.

Details

ISSN :
13674811 and 13674803
Volume :
24
Database :
OpenAIRE
Journal :
Bioinformatics
Accession number :
edsair.doi.dedup.....1a754ef15370e3a48cd3ea21ed5c6e9f