Measuring covariation in RNA alignments: Physical realism improves information measures - supplementary material

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Results

A pdf-file containing additional results: Suppl.pdf (and a .tar-file containing the eps-files: Figures.tar)

Here you can see graphs showing MCC, sensitivity and Positive Predictive Value for the individual datasets as well as averages for the different identity intervals. Also a plot showing how the MCC depends on the number of sequences in the dataset.

Datasets

The datasets used in the main analysis: RNAsets.tar

The datasets used for the MCC vs. number of sequences analysis: MCCvsSeqNum.tar

Scripts and programs

C++ program for calculating various measures of covariation: PlotBasepairMI.cc The Makefile: Makefile

R-scripts for making the SEN, PPV and MCC graphs: Rscripts.tar

R-script for making the barplot: Barplot.R

R.script for plotting MCC vs. number of sequences:MCCvsSeqNum.R