Breakpoint detection does not work in long read data

[ArthurDondi]

Dear DaPars2 developers,

Due to the nature of long-reads 3'UTR profiles (see image below), the breakpoint detection of DaPars2 is not accurate : it assumes uniform distribution before and after breakpoint, while long-reads have this slope of decreasing coverage.

For the example of COL6A2 below, DaPars2 will find:

Gene	fit_value	Predicted_Proximal_APA	Loci	Red	Green
ENST00000361866.8|COL6A1|chr21|+	1298.1	46003542	chr21:46003391-46005048	1.00	1.00

While the correct answer should be something like:

Gene	fit_value	Predicted_Proximal_APA	Loci	Red	Green
ENST00000361866.8|COL6A1|chr21|+	XXXX	46004100	chr21:46003391-46005048	0.90	0.70

So it finds an incorrect breakpoint, leading to incorrect DPUI values.

While DaPars2 does not claim to work for long-reads, I thought it would be nice to have a version working for it.