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The data pre-processing implemented in Module 1 enables the user to quickly focus on the most relevant sequences.
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Content mining module: an improved association rule-mining algorithm is implemented in this module, allowing us to categorize and interpret UGC with multiple heterogeneous features. .
Feature generation module: this module is used to identify significant attributes from collected raw samples and producing high-level features; Content mining module: an improved association rule-mining algorithm is implemented in this module, allowing us to categorize and interpret UGC with multiple heterogeneous features.
Our system differs from previous ones in terms of the choice of the techniques implemented in the modules and in the integration architecture.
To verify the randomness of the sequences generated, we apply the standard suite of statistical tests (FIPS 140-2) recommended by the National Institute of Standard and Technology for studying the quality of the physical random number generators, especially those implemented in cryptographic modules.
The software, such as applications and protocols, is implemented in separated modules which can control the operations of processor.
As shown in Fig. 4, the functions implemented in reconfigurable modules (RM), i.e., reconfigurable parts, are replaced by the contents of the partial bitstreams (.bit files), while the current static parts remain operational, completely unaffected by the reconfiguration [52].
These seven steps together with several ancillary tools are implemented in six modules: (1) User space, (2) Structure preprocessing, (3) Data preprocessing, (4) Modeling process, (5) Model interpretation (6) Tools.
Skeleton processing, graph processing, and the quantification methods are implemented in independent modules so any improvement or extension to any of these processes can be made very easily.
Computational strategies implemented in RAP modules also allow to identify polyadenylation sites, elementary alternative splicing events (e.g. exon skipping) and chimeric transcripts.
The 'Structure Modification' sub-module (implemented in all the modules) takes peptide structure as an input and gives an option to further modify the peptide structure.
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