The European Genome-phenome Archive of human data consented for biomedical research.

The European Genome-phenome Archive (EGA) is a permanent archive that promotes distribution and sharing of genetic and phenotype data consented for specific approved uses, but not fully open public distribution. The EGA follows strict protocols for information management, data storage, security and dissemination. Authorized access to the data is managed in partnership with the data providing organizations.

1000 Genomes Selection Browser 1.0: a genome browser dedicated to signatures of natural selection in modern humans.

Searching for Darwinian selection in natural populations has been the focus of a multitude of studies over the last decades. Here we present the 1000 Genomes Selection Browser 1.0 (http://hsb.

Select your SNPs (SYSNPs): a web tool for automatic and massive selection of SNPs.

Association studies are the choice approach in the discovery of the genomic basis of complex traits. To carry out such analysis, researchers frequently need to (1) select optimally informative sets of Single Nucleotide Polymorphisms (SNPs) in candidate regions and (2) annotate the results of associations found by means of genome-wide SNP arrays. These are complex tasks, since many criteria have to be considered, including the SNPs' functional properties, technological information and haplotype frequencies in given populations.

Genome-wide association studies pipeline (GWASpi): a desktop application for genome-wide SNP analysis and management.

Motivation: Genome-wide association studies (GWAS) based on single nucleotide polymorphism (SNP) arrays are the most widely used approach to detect loci associated to human traits. Due to the complexity of the methods and software packages available, each with its particular format requiring intricate management workflows, the analysis of GWAS usually confronts scientists with steep learning curves. Indeed, the wide variety of tools makes the parsing and manipulation of data the most time consuming and error prone part of a study.