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The software automated the analytical process as follows: For each query: For each replication: Remove query species (or genus) from reference library.
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Then, it removes queries which are not associated to a potential requester (lines 5 to 6), i.e. queries for which Algorithm 2 was unsuccessful.
The minus signs removed queries that contained the terms avian or vaccine.
While this process is undertaken, the master node will monitor the data that is returned to it and, once it has recieved all the replies (or a timeout is exceeded) it will remove the query tasks from the communication space.
Run UCHIME (Edgar et al., 2011) against the reference alignment to remove chimeric query sequences.
Our pipeline executes the following steps: Run UCHIME (Edgar et al., 2011 ) against the reference alignment to remove chimeric query sequences.
That is, we removed the query sequence from the reference tree and alignment before using PhyClass.
However, when removing the query genome from the reference, together with increasingly distant relatives, the accuracy of all three approaches decreases, as expected.
It was necessary that, after removing the query compound q, at least three positive and three negative examples remained for training (see Section 2.4).
The increase in sensitivity due to reducing the motif space potentially greatly outweighs the deficit produced by removing the query occurrence.
These queries were derived from the Snort query base6 employing the following procedure: We removed the queries consisting of filters that either require more than one network packets to be checked or consider general characteristics from the packet flow, such as the total number of remote login failures.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com