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Python graphical library Matplotlib [10] and R statistical programming language (RStudio Version 0.99.903, R Foundation for Statistical Computing, Vienna, Austria) were used for plotting graphs.
Therefore, this paper presents a graphical library including a set of interactive schemes for several processes, such as tanks, pendulums, or ball and beams.
The kriging interpolation method was used [ 29] and the graphical library of statistical software R [ 17] was used to display the maps.
Normal mode analysis (NMA) (Bahar et al., 2009) of selected protein structures and essential dynamics analysis (EDA) of molecular dynamics trajectories were performed using Prody 0.9; (Bakan et al., 2011) results were rendered using the matplotlib (Hunter, 2007) graphical library.
All data transformations, set operations, and comparisons were performed in the R statistical environment (http://www.r-project.org), and visualized using the ggplot graphical package (http://ggplot2.org) and d3.js graphical library (http://d3js.org/).org/
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In addition, to integrate large number of statistical and graphical libraries, R [86] package is supported by KNIME to cover advanced data manipulation and modeling.
Another consideration we used in the design of luscus code is the portability and the minimal dependence on external graphical libraries.
The rearrangements of each tumor were plotted using Circos [ 20], and rearrangement and CNV profiles were drawn using standard R graphical libraries [ 21].
The interface was built using Python graphical libraries developed as part of the CCPN project which are released under the GPL license (Vranken et al., 2005).
The graphical display in PCAS was realized by calling GD graphics library.
A problem in writing graphical software is the operating-system dependency of many graphics libraries.
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