RegPrecise 3.0 was selected as a core resource on transcriptional regulation of the Department of Energy Systems Biology Knowledgebase, an emerging software and data environment designed to enable researchers to collaboratively generate, test and share new hypotheses about gene and protein functions, perform large-scale analyses, and model interactions in microbes, plants, and their communities.
The R environment software http://www.r-project.org/ was used for data analysis.
The first author inputted and coded all the data in the qualitative data analysis software environment, NVivo [ 46].
Analyses of the predictive power of individual characteristics and predictions using combined characteristics were performed using binary logistic regression (Waikato Environment for Knowledge Analysis data mining software) [ 43].
In this paper the design of a solar collector, an autonomous system for data acquisition and software environment for data evaluation are presented.
Eight steps need to be described and undertaken to qualify the validation of the data collection software in its target environment: requirements definition, design, coding, testing, tracing, user acceptance testing, installation and configuration, and decommissioning.
Docker allows encapsulation of a complex environment with all the necessary data and software [ 28 ].
Next, we explain the procedure for selecting test cases for each user environment using software relation data and test case attribute data when a new patch is released.
data acquisition software.
Run the data recovery software.
Biology-specific data, knowledge, and software resources are drawn from the BioBike environment [2], an integrated biological data and knowledge repository and biology-specific programming environment.
