Figure 2.

Probability distributions for four of the six features used to train the BEST predictor. Probability distributions are shown for each of four features in non-transcribed (purple), active transcription start sites (TSSs; green), and transcriptional elongation states (orange). Feature #1: normalized sense strand reads density (reads/kb/mapability). Feature #2: normalized antisense strand read density (reads/kb/mapability). Feature #3: ratio of the normalized sense strand read density to that in a 2-kb window immediately 3' of the test window. Feature #4: ratio of the normalized antisense strand read density to that in a 2-kb window just 3' of the test window. (Not shown are feature #5, ratio of the normalized sense strand read density to that in a 2-kb window immediately 5' of the test window, and feature #6, ratio of the normalized antisense strand read density to that in a 2-kb window just 5' of the test window.)

Melgar et al. Genome Biology 2011 12:R113   doi:10.1186/gb-2011-12-11-r113
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