EC-comparator results

Setup:

Date: {{description_time}}

Sample s1: {{description_s1}}

Sample s2: {{description_s2}}

Output directory: {{description_output}}

Results:

Here we compute the cycle distance between `s1` and `s2`.

Distance description:
d1 = Hamming distance = measures differences of genomic regions presence / absence for s1 and s2
d2 = Cosine distance = measures the copy-number distance between the s1 and s2 using cosine distance
d3 = Min-max distance = measures the copy-number distance between the s1 and s2 using jaccard distance
d4 = Bins distance = measures differences of genomic bins usage
d5 = Paths distance = measures differences of paths decomposition between s1 and s2
d6 = Breakpoint distance = measures differences between the breakpoint junctions profiles between s1 and s2

The radial plot shows all these distances, with values between 0 (low cost, high similarity) and 1 (high cost, low similarity).
The more colorful the more distant are `s1` and `s2`.

Total cost: {{total_cost}} (0 - highly similar, 5 - dissimilar)

Coverage (gray track) and breakpoint-pairs matches for s1 (green) and s2 (blue).
Unmached breakpoint-pairs are displayed in gray. The log2(s1/s2) is displayed in black. The zero reference is displayed as dotted red line.