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Datasets and models are available from the CVSSP datasets server at www.cvssp.org.
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As an example, the output of Kin-Driver for mutation EGFR E746-A750del is presented in Figures 1 and 2. In case the user challenges Kin-Driver with a particular mutation or position that is not described as activating/inactivating in our dataset, our server retrieves if there is an activating/inactivating mutation in any other human kinase in an equivalent position (based on the MSA alignment).
In addition, we tested reliable datasets on Hadoop server to verify the threshold limit value (TLV) and the investigation demonstrates that the proposed scheme offer valuable imminent into the community development systems to get better the existing smart urban architecture.
Depending on the size datasets and the server load, computations take from between 2 3 and 30 40 minutes (Additional file 1: Figure S1).
Figure 3b shows the reconstruction of a pseudonymized dataset with indirect server-to-server communication.
A co-allocation architecture was developed in order to enable parallel downloads of datasets from multiple servers.
BioDownloader is very useful for downloading large datasets from remote servers.
Three networks, namely, EHMN [ 44], KEGG and Recon1 [ 45], are provided in the demo dataset on the server.
This experiment investigates the effect of using the separate FTP servers on the Internet because communication time can be considerably influenced by network delay: the masters need to upload the datasets to the FTP server and the slaves need to download the data chunks from the FTP server.
The distributed Kinects report the sensed datasets to a VR server via a WiFi network.
We also utilized consistent datasets on the Hadoop server to validate the proposed architecture based on threshold limit values (TLVs).
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