Distributed and parallel processing for the embgrid project

The goal of EMBgrid is to overcome relevant infrastructure needs in Bioinformatics development and services in order to address future needs for the provision of useful Bioinformatics solutions to the Biosciences community. The proposed approach will make use of an extended Grid architecture, built on top of existing EU-DATAGRID services and deployed over a wide number of European nodes, to enable delivery of advanced tools and solutions to the growing demands of Biosciences. We contemplate creation of a pan-european Grid resource, related to other EU Grid initiatives and devoted mainly to Bioinformatics. This initiative will raise Europe's competitiveness in this and related fields. Successful deployment and dissemination will be facilitated by EMBnet long track in delivering tools, services and training to the European scientific community.Eje: Procesamiento Concurrente, Paralelo y Distribuid

Distributed and parallel processing for the embgrid project

The goal of EMBgrid is to overcome relevant infrastructure needs in Bioinformatics development and services in order to address future needs for the provision of useful Bioinformatics solutions to the Biosciences community. The proposed approach will make use of an extended Grid architecture, built on top of existing EU-DATAGRID services and deployed over a wide number of European nodes, to enable delivery of advanced tools and solutions to the growing demands of Biosciences. We contemplate creation of a pan-european Grid resource, related to other EU Grid initiatives and devoted mainly to Bioinformatics. This initiative will raise Europe's competitiveness in this and related fields. Successful deployment and dissemination will be facilitated by EMBnet long track in delivering tools, services and training to the European scientific community.Eje: Procesamiento Concurrente, Paralelo y DistribuidoRed de Universidades con Carreras en Informática (RedUNCI

Major flood events reconstruction from a multi-proxy approach. The case study of November 1617 flood event in the Mediterranean Basins of Iberian Peninsula

Peer ReviewedPostprint (published version

Distributed and parallel processing for the embgrid project

The goal of EMBgrid is to overcome relevant infrastructure needs in Bioinformatics development and services in order to address future needs for the provision of useful Bioinformatics solutions to the Biosciences community. The proposed approach will make use of an extended Grid architecture, built on top of existing EU-DATAGRID services and deployed over a wide number of European nodes, to enable delivery of advanced tools and solutions to the growing demands of Biosciences. We contemplate creation of a pan-european Grid resource, related to other EU Grid initiatives and devoted mainly to Bioinformatics. This initiative will raise Europe's competitiveness in this and related fields. Successful deployment and dissemination will be facilitated by EMBnet long track in delivering tools, services and training to the European scientific community.Eje: Procesamiento Concurrente, Paralelo y DistribuidoRed de Universidades con Carreras en Informática (RedUNCI

Abstracts

Tradução, para a língua inglesa, dos resumos dos artigos publicados nesta edição

Megadroughts in Iberia. A case study of the event 1812-1824. Atmospheric processes and socio-environmental impacts

Peer ReviewedPostprint (published version

Climatic context and meteorological anomalies during 1783 in Eastern Iberian Peninsula. Atmospheric processes and impacts of a singular "Bad Year"

Peer ReviewedPostprint (published version

Cross-disease Meta-analysis of Genome-wide Association Studies for Systemic Sclerosis and Rheumatoid Arthritis Reveals IRF4 as a New Common Susceptibility Locus

Objectives: Systemic sclerosis (SSc) and rheumatoid arthritis (RA) are autoimmune diseases that share clinical and immunological characteristics. To date, several shared SSc- RA loci have been identified independently. In this study, we aimed to systematically search for new common SSc-RA loci through an inter-disease meta-GWAS strategy. Methods: We performed a meta-analysis combining GWAS datasets of SSc and RA using a strategy that allowed identification of loci with both same-direction and opposingdirection allelic effects. The top single-nucleotide polymorphisms (SNPs) were followed-up in independent SSc and RA case-control cohorts. This allowed us to increase the sample size to a total of 8,830 SSc patients, 16,870 RA patients and 43,393 controls. Results: The cross-disease meta-analysis of the GWAS datasets identified several loci with nominal association signals (P-value < 5 x 10-6), which also showed evidence of association in the disease-specific GWAS scan. These loci included several genomic regions not previously reported as shared loci, besides risk factors associated with both diseases in previous studies. The follow-up of the putatively new SSc-RA loci identified IRF4 as a shared risk factor for these two diseases (Pcombined = 3.29 x 10-12). In addition, the analysis of the biological relevance of the known SSc-RA shared loci pointed to the type I interferon and the interleukin 12 signaling pathways as the main common etiopathogenic factors. Conclusions: Our study has identified a novel shared locus, IRF4, for SSc and RA and highlighted the usefulness of cross-disease GWAS meta-analysis in the identification of common risk loci