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The script for generating the simulated data is included in the Additional files.
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The scripts for generating the correlations of biological replicates and tables of cross-correlation are available in Source code 1.
The Python script for generating the simulation data and Perl scripts for extracting and pre-processing of these SNP data are available in Additional File 1.
The matlab script for generating these solutions can be found in the appendix.
The script for Niko Psycho.
The DCC vetting software began life as a Perl script for generating a ChadoXML file from a BIR-TAB/GFF submission, which required a basic level of syntactic validity.
The Perl scripts for generating the mouse and zebrafish disease associations are available at our Google project page (http://code.google.com/p/phenodigm) along with the various data files required as input such as the HPO-MP and HPO-ZP pairwise mapping output from OWLSim.
12932_2008_91_MOESM1_ESM.txt Additional file 1: Program script for generating figures.
Our scripts for generating the simulated data are available via the CONTRA website.
The R and Python source codes for the contact prediction by all methods, C source code modifications to PSICOV V2.1b3, R source code for structure-domain sequence mapping and python scripts for generating codon MSAs are available at https://etaijacob.github.io/.
The processing of the results as well as the extraction of data from the database are made by using Python and R. BIOWINE relies on Python scripts for enrichment and on R scripts for generating heatmaps (pheatmap library) and volcano plots (ggplot2 library).
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