The past, present and future of the ELKH cloud
This review article summarizes the history the Hungarian Scientific Cloud Infrastructure
project. This research infrastructure was launched officially on 1 October 2016, funded by …
project. This research infrastructure was launched officially on 1 October 2016, funded by …
Managing, analysing, and integrating big data in medical bioinformatics: open problems and future perspectives
The explosion of the data both in the biomedical research and in the healthcare systems
demands urgent solutions. In particular, the research in omics sciences is moving from a …
demands urgent solutions. In particular, the research in omics sciences is moving from a …
A survey of data-intensive scientific workflow management
Nowadays, more and more computer-based scientific experiments need to handle massive
amounts of data. Their data processing consists of multiple computational steps and …
amounts of data. Their data processing consists of multiple computational steps and …
1001 Ways to run AutoDock Vina for virtual screening
Large-scale computing technologies have enabled high-throughput virtual screening
involving thousands to millions of drug candidates. It is not trivial, however, for biochemical …
involving thousands to millions of drug candidates. It is not trivial, however, for biochemical …
CBRAIN: a web-based, distributed computing platform for collaborative neuroimaging research
T Sherif, P Rioux, ME Rousseau, N Kassis… - Frontiers in …, 2014 - frontiersin.org
The Canadian Brain Imaging Research Platform (CBRAIN) is a web-based collaborative
research platform developed in response to the challenges raised by data-heavy, compute …
research platform developed in response to the challenges raised by data-heavy, compute …
Multi-omic data analysis using Galaxy
To the Editor: Comprehensive multi-omic data acquisition has become a reality, largely
driven by the availability of high-throughput sequencing technologies for genomes and …
driven by the availability of high-throughput sequencing technologies for genomes and …
Scientific workflows: moving across paradigms
Modern scientific collaborations have opened up the opportunity to solve complex problems
that require both multidisciplinary expertise and large-scale computational experiments …
that require both multidisciplinary expertise and large-scale computational experiments …
A workflow management system for scalable data mining on clouds
The extraction of useful information from data is often a complex process that can be
conveniently modeled as a data analysis workflow. When very large data sets must be …
conveniently modeled as a data analysis workflow. When very large data sets must be …
A data management infrastructure for the integration of imaging and omics data in life sciences
Background As technical developments in omics and biomedical imaging increase the
throughput of data generation in life sciences, the need for information systems capable of …
throughput of data generation in life sciences, the need for information systems capable of …
Micado—microservice-based cloud application-level dynamic orchestrator
Various scientific and commercial applications require automated scalability and
orchestration on cloud computing resources. However, extending applications with such …
orchestration on cloud computing resources. However, extending applications with such …