In the last decades an exponential increase of the scientific and technical development in all the areas of science has become manifest, being more and more relevant the conflicts between the pure scientific advance of the society and the property of the researched knowledge. Particularly the brake that certain aspects of the established system suppose in the acquisition of some findings. The...
Large-scale analysis of medical images using biomarkers requires an infrastructure which commonly exceeds the resources available for research groups. Besides, some biomarkers can benefit from specific hardware accelerators. Additionally, medical data analysis may require using only certified environments in specific countries, due to legal constraints. Cloud platforms enable medical...
We will undertake the implementation of a genome annotation platform that will provide community access to tools and data-flows for marine genome annotation. The platform is designed to address the fragmented research landscape for genome annotation of marine organisms. We propose a portal to marine genomic resources and a community driven annotation platform for marine eukaryotes which would...
Estuaries and coastal zones are among the most productive ecosystems on Earth, supporting
many human activities and providing multiple ecosystem services. The ability to simulate and
forecast the dynamics of estuarine and coastal zones is thus essential to support the sustainable
management of these regions, both for daily activities and for long-term strategies associated
with climate...
SKA is an international project, qualified as ESFRI Landmark Project, to build the largest and most sensitive radio telescope ever conceived, with the potential to achieve fundamental advances in Astrophysics, Physics and Astrobiology. Since 2011 the IAA-CSIC coordinates the Spanish participation in the SKA, closely collaborating with Portugal in SKA related activities during this time. Spain...
Complex simulations that require large amounts of computational resources have typically run in dedicated supercomputers. However some parts of these simulations don´t perform well in these computers or don´t need these highly costs resources and can be executed on cheaper hardware. Moving some parts of these simulations out of the supercomputers and running them in smaller clusters or cloud...
This presentation will outline the services currently in production, and also under development, oriented to support the access of researchers in Spain to the Digital Infrastructures of the EOSC era.The purpose of the presentation is also collecting feedback from the participants.
Trust is a central issue confronting men and women in contemporary society. In fact, the most difficult thing to achieve in this world is trust. It can take years to win and only a matter of seconds to lose it. This is also applicable in a computing environment, where users need to trust computing services to process and manage their data. This implies a broad spectrum of properties to be...
We will undertake the implementation of a genome annotation platform that will provide community access to tools and data-flows for marine genome annotation. The platform is designed to address the fragmented research landscape for genome annotation of marine organisms. We propose a portal to marine genomic resources and a community driven annotation platform for marine eukaryotes which would...
In the last decades an exponential increase of the scientific and technical development in all the areas of science has become manifest, being more and more relevant the conflicts between the pure scientific advance of the society and the property of the researched knowledge. Particularly the brake that certain aspects of the established system suppose in the acquisition of some findings. The...
Large-scale analysis of medical images using biomarkers requires an infrastructure which commonly exceeds the resources available for research groups. Besides, some biomarkers can benefit from specific hardware accelerators. Additionally, medical data analysis may require using only certified environments in specific countries, due to legal constraints. Cloud platforms enable medical...
This presentation will outline the services currently in production, and also under development, oriented to support the access of researchers in Spain to the Digital Infrastructures of the EOSC era.The purpose of the presentation is also collecting feedback from the participants.
Deep Learning is a powerful tool for science, industry and other sectors that benefits from large datasets and computing capacity during models’ design and training phases. TensorFlow (TF) Google’s Machine Learning API is one of the tools most widely used for developing and training such deep learning models. There is a wide range of possibilities to configure a deep learning model however...
The Square Kilometre Array (SKA) project approaches construction for it Phase1. As part of science delivery, SKA1 through the AENEAS H2020 project aims the design and constitution of its EU Regional Centre with node in several SKA1 Members countries. Portuguese ENGAGE SKA RI partcpates in the design and specification of a distributed, European Science Data Centre (ESDC) to support the...
SKA is an international project, qualified as ESFRI Landmark Project, to build the largest and most sensitive radio telescope ever conceived, with the potential to achieve fundamental advances in Astrophysics, Physics and Astrobiology. Since 2011 the IAA-CSIC coordinates the Spanish participation in the SKA, closely collaborating with Portugal in SKA related activities during this time. Spain...
Complex simulations that require large amounts of computational resources have typically run in dedicated supercomputers. However some parts of these simulations don´t perform well in these computers or don´t need these highly costs resources and can be executed on cheaper hardware. Moving some parts of these simulations out of the supercomputers and running them in smaller clusters or cloud...
Background: Outbreak investigations and pathogen surveillance are crucial tasks to control transmission of foodborne transmitted diseases. The decreasing costs of High-Throughput Sequencing (HTS) are boosting application of HTS for molecular typing in routine surveillance and outbreak investigation, maximizing discriminatory power in outbreak detection. However, lack of standardized...
Background: Outbreak investigations and pathogen surveillance are crucial tasks to control transmission of foodborne transmitted diseases. The decreasing costs of High-Throughput Sequencing (HTS) are boosting application of HTS for molecular typing in routine surveillance and outbreak investigation, maximizing discriminatory power in outbreak detection. However, lack of standardized...
Changes in the programing paradigms over the last years have pushed Cloud providers, such as Amazon Web Services (AWS), to offer new service solutions to adapt to the user requirements. Cloud serverless computing has arisen to palliate the demand of executing small pieces of code in the Cloud without having to previously provision infrastructure resources. Several benefits from serverless...
Scipion is an image processing framework used to obtain 3D maps of macromolecular complexes on Cryo Electron Microscopy. It has emerged as the solution offered by the Instruct Image Processing Center (I2PC), hosted by CNB-CSIC, to European scientists accessing the European Research Infrastructure for Structural Biology (Instruct).
Cryo-EM processing is very demanding in terms of computing...
Trust is a central issue confronting men and women in contemporary society. In fact, the most difficult thing to achieve in this world is trust. It can take years to win and only a matter of seconds to lose it. This is also applicable in a computing environment, where users need to trust computing services to process and manage their data. This implies a broad spectrum of properties to be...
