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Interactive The applications should provide interactive exploration of datasets through visualizations and integration with relevant information.
We have identified five requirements for such applications: Interactive The applications should provide interactive exploration of datasets through visualizations and integration with relevant information.
To take advantage of the richness of data available in the SWIFT results, we have also developed SWIFT-dependent auxiliary methods for visualization and other postclustering analyses to facilitate rigorous comparisons between samples, as well as exploration of datasets for discovery research.
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The work included direct comparison of given gene or protein lists, and exploration of dataset interrelationships at the levels of transcriptional coregulation and protein-protein interaction networks.
In addition the ability to routinely generate –omics datasets means that experimental biologists need tools for the rational exploration of –omics datasets – for instance by filtering data against rigorously-defined subsets of TFs.
Our goal is to facilitate the exploration of these datasets.
40562_2018_111_MOESM1_ESM.pdf Additional file 1. Exploration of the datasets.
This provides real time interaction and interactive exploration of large datasets, which has been a challenge for scientific visualization and other real time data mining applications.
The aim of OSMvis is to generate insights about the OSM community and its mapping behaviour as well as about the OSM data themselves by a visual exploration of the datasets.
Cytoscape is a well developed platform for the interactive generation and exploration of PPI datasets.
1C1V is developed to help scientists and answer complex queries through interactive visual exploration of screening datasets.
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