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All programming scripts were performed using R (http://www.rproject.org/).org/
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Data handling other than that done using SQL was performed with python scripts, network analyses were performed using Contagion [ 29], and statistical analyses were performed using R [ 30].
The basic data processing was done using in-house Perl scripts; and statistical analyses were performed using the R package (http://www.r-project.org).org
For image analysis, the fluorescence intensities of 10 images per time point per shear stress were analyzed using a MATLAB script, and statistical analyses were performed using ANOVA, with significance considered at p < 0.05.
All benchmarks listed here were performed using scripts written in Python by the author.
These analyses were performed using scripts written in R [ 29].
Data transformation and standardization were performed using scripts written in the R statistical programming language.
All analyzes of sequence divergence were performed using scripts written in BioPython (Cock et al. 2009).
Unless indicated otherwise, all operations with phylogenetic trees were performed using scripts implemented within the ETE package [ 50].
Correlation of molecular weights and pI were performed, using scripts written in house, for all COGs classified to a particular function for each pair of organisms.
The communication between the GUI and the database to extract information from Human-gpDB was achieved with the use of CGI scripts and all the calculations were performed using Perl.
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CEO of Professional Science Editing for Scientists @ prosciediting.com