Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Bioinformatics resources on EGI Federated Cloud

View through CrossRef
Data can be “big” for three reasons – often referred to as the three V's; volume of data, velocity of processing the data, and variability of data sources. If any of these key features are present, then big-data tools are necessary, often combined with high network bandwidth and massive compute systems. As NGS technologies are revolutionizing life science research, established workflows in facilitating the first steps in data analysis are being increasingly employed. Cloud computing provides a robust and cost-efficient solution towards supporting the computational demands of such workflows. In particular, NGS data analysis tools are constantly becoming available as resources within EGI’s Federated Cloud. The European Grid Infrastructure (EGI) is the result of pioneering work that has, over the last decade, built a collaborative production infrastructure of uniform services through the federation of national resource providers that supports multi-disciplinary science across Europe and around the world. EGI currently supports an extensive list of services available for life sciences and has been working together with the community to implement further support. The EGI Federated Cloud (FedCloud), the latest infrastructure and technological offering of EGI, is a prime example of a flexible environment to support both discipline and use case through Big Data services. Finally, in addition to providing access to advanced tools and applications, e-infrastructures like EGI, provide the opportunity to create training tools for life science researchers and to create synergies between life sciences and ICT researchers, which is fundamental in moving research forward.
Title: Bioinformatics resources on EGI Federated Cloud
Description:
Data can be “big” for three reasons – often referred to as the three V's; volume of data, velocity of processing the data, and variability of data sources.
If any of these key features are present, then big-data tools are necessary, often combined with high network bandwidth and massive compute systems.
As NGS technologies are revolutionizing life science research, established workflows in facilitating the first steps in data analysis are being increasingly employed.
Cloud computing provides a robust and cost-efficient solution towards supporting the computational demands of such workflows.
In particular, NGS data analysis tools are constantly becoming available as resources within EGI’s Federated Cloud.
The European Grid Infrastructure (EGI) is the result of pioneering work that has, over the last decade, built a collaborative production infrastructure of uniform services through the federation of national resource providers that supports multi-disciplinary science across Europe and around the world.
EGI currently supports an extensive list of services available for life sciences and has been working together with the community to implement further support.
The EGI Federated Cloud (FedCloud), the latest infrastructure and technological offering of EGI, is a prime example of a flexible environment to support both discipline and use case through Big Data services.
Finally, in addition to providing access to advanced tools and applications, e-infrastructures like EGI, provide the opportunity to create training tools for life science researchers and to create synergies between life sciences and ICT researchers, which is fundamental in moving research forward.

Related Results

CLOUD COMPUTING - NAVIGATING THE DIGITAL SKY
CLOUD COMPUTING - NAVIGATING THE DIGITAL SKY
“Cloud Computing – Navigating the Digital Sky” is an extensive guide designed to provide a thorough understanding of cloud computing, an essential technology in today’s digital age...
Federated Data Linkage in Practice
Federated Data Linkage in Practice
In recent years, great strides have been made towards the deployment of federated systems for data research, including exploring federated trusted research environments (TREs). The...
Leveraging Artificial Intelligence for smart cloud migration, reducing cost and enhancing efficiency
Leveraging Artificial Intelligence for smart cloud migration, reducing cost and enhancing efficiency
Cloud computing has become a critical component of modern IT infrastructure, offering businesses scalability, flexibility, and cost efficiency. Unoptimized cloud migration strategi...
Hybrid Cloud Scheduling Method for Cloud Bursting
Hybrid Cloud Scheduling Method for Cloud Bursting
In the paper, we consider the hybrid cloud model used for cloud bursting, when the computational capacity of the private cloud provider is insufficient to deal with the peak number...
THE ROLE OF CLOUD COMPUTING IN SCALING E-COMMERCE BUSINESSES
THE ROLE OF CLOUD COMPUTING IN SCALING E-COMMERCE BUSINESSES
In the rapidly evolving digital landscape, e-commerce has emerged as a cornerstone of global trade, necessitating robust, scalable solutions to accommodate increasing consumer dema...
Cloud-Based Federated Learning Implementation Across Medical Centers
Cloud-Based Federated Learning Implementation Across Medical Centers
PURPOSEBuilding well-performing machine learning (ML) models in health care has always been exigent because of the data-sharing concerns, yet ML approaches often require larger tra...
Advancements in Biomedical and Bioinformatics Engineering
Advancements in Biomedical and Bioinformatics Engineering
Abstract: The field of biomedical and bioinformatics engineering is witnessing rapid advancements that are revolutionizing healthcare and medical research. This chapter provides a...
Optimizing edge cloud deployments for video analytics
Optimizing edge cloud deployments for video analytics
(English) As our digital world and physical realities blend together, we, as users, are growing to expect real-time interaction wherever and whenever we want. Newer internet servic...

Back to Top