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The overall scheme of database construction is explained in figure 1. Sub-databases were constructed for individual genomes by importing all data files as tables, each representing one chromosome.
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All statistics were performed by importing the data into R v.3.1.2 [ 38].
For example, Evans created a test Facebook campaign, and he was able to target that campaign at different customer groups by importing his data from Salesforce.
This software can be employed to evaluate the safety distance and operation area by importing the data of actual production and operation.
The gene coexpression network for the candidate module was then visualized by importing network data into Cytoscape, version 3.0.1 [ 39].
Data can be added via raw data entry into data screens (from paper CRFs), or by importing ASCII data files (eg, from a central laboratory).
Genome browsers provide an aid to the researcher by importing biological data from various sources and presenting these data in an integrated way.
The more precise location was determined by importing processed data into the GenomeJack genome viewer (Fig. 1 for ESC and Fig. 2 for ESC-derived neurons).
These files can then be used for further analysis tools, e.g. by importing the data into Cytoscape as a binary network and running graph-based queries or visualizing larger networks (Shannon et al., 2003).
Furthermore, by importing the data into GACK (Genome Analysis by Charles Kim), software built around an algorithm that selects a dynamic cut-off value based on the shape of the signal ratio distribution [ 31], a binary classification of presence/absence could be applied to generate a list of present/absent probes which is represented diagrammatically in Figure 1B.
The data are plotted by importing data to OriginLab (v.8; Northampton, MA, USA).
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