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A data base of collected qualitative and quantitative data was created using Microsoft Office Excel 2007 (Microsoft).
The motif data was created using the Toucan toolbox to search for putative motifs in the upstream sequence of the genes.
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Sequence similarity data was creating using all-against-all BLAST comparisons within the training and test data sets, and between the training and test data sets and the use case data sets (redundant alignments were excluded).
To make the procedure simple, the synthetic seismic data were created using a convolution technique on a thin-bed reflectivity model.
Network visualizations for our data were created using Cytoscape [ 55].
Simulated data were created using Hudson's ms (Hudson 2002).
Three-dimensional (3D) visualization of CLSM data were created using amira™ 4.0 (Mercury Computer Systems Inc., Chelmsford, MS, USA).
Ten imputed sets of data were created using the data from all of the models being considered.
These data were created using primary cell samples rather than immortalized cell lines, resulting in higher-quality gene expression profiles [ 8].
The visualizations depicting protein and RNA data are created using the R programming language and integrated into the web tool via the RPy2 library.
Algorithms for processing SUMs data were created using an iterative process, beginning with recommendations from the literature that identify events by setting thresholds for the rate of increase and decrease in temperature.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com