Provides biologists with basic computational tools and knowledge to confront large datasets in a quantitative manner.
With the combined power of ADAM and Mango, you can load, query, and explore datasets in a unified environment.
Until now, no research group has been able to integrate and analyse the relevant datasets in a way to satisfactorily answer this major question.
First we evaluate the performance and limitations of these algorithms when confronted with large datasets in a single, powerful machine.
DEM Explorer is designed to share and explore the common DEM datasets in a publicly accessible online environment.
Hadoop is an open-source implementation of MapReduce serving for processing large datasets in a massively parallel manner.
George Brandis will move to make it a criminal offence to publish or disseminate "reidentified" government datasets, in a move that digital rights groups say could criminalise important research and security work.
We demonstrate the effectiveness of our approach on a number of inference algorithms and evaluate the implementation on a suite of datasets in a real network deployment.
They can be used to assign a model to all the datasets in a datastack or to a dataset subset with the data indicator '__indicator
We describe a framework, called DataCutter, that is designed to provide support for subsetting and processing of datasets in a distributed and heterogeneous environment.
This effort further confirms that the proposed method can effectively reduce ocular artifacts in large clinical EEG datasets in a high-throughput fashion.
