epic-count creates a simple matrix of counts from the .bed/.bedpe files it is given. These matrixes do not contain information about enrichment.
One or more bed/bedpe files to count reads in.
File to write results to. By default sent to stdout.
The number of cores epic should use. Can at most take advantage of 1 core per strand per chromosome (i.e. 46 for humans). Default: 1
Which genome to analyze. By default hg19.
Keep reads mapping to the same position on the same strand within a library. The default is to remove all but the first duplicate (this is done once per file, not for all files collectively.)
(Only used for single-end files) Size of the sequenced fragment. The center of the fragment will be used to calculate which window a read ended up in. So reads are shifted by fragment-size/2. Default 150.
Set the chromosome lengths yourself in a file with two columns: chromosome names and sizes. Useful to analyze custom genomes, assemblies or simulated data. Only chromosomes included in the file will be analyzed.