Data processing was as described by Gold et al.[ 25].
Protease sample concentrations, buffer conditions, data acquisition, and data processing were as previously described.
The future implementation of in-network data processing is envisioned as the provision of network-as-a-service (NaaS) in the cloud environment which is fully orchestrated for redundancy elimination and query optimization [57].
Data processing is implemented as a distributed process run on a computing cluster with 192 processor dual-dual core 2.8 Ghz computer nodes.
The procedure for data processing is the same as that used in Aoyama et al. (2016).
For the experiments carried out in this section, the data processing is the same as the ones exposed in the experiments of partial magnetic stirrer with temperature control.
Each day in the mechanical trenches of heating, cooling and data processing is much the same as another but for the cost of paying for the energy used.
Data processing is of crucial importance, as it strongly influences the data analyses and results that follow.
Data processing was performed essentially as described previously [ 13].
RNA labeling, hybridizations, scanning and data processing were performed according as previously described using the Agilent One-Color Microarray-Based Gene Expression analysis (Low Input Quick Amp Labeling kit) along with Agilent One-color RNA SpikeIn kit [ 64].
