Peaks are called by screening for genomic regions with a number of UMIs above a quantile of the marginal ATAC counts,
and above min_umis
. Peaks are then canonized using canonize_peaks
.
If split_peaks
is TRUE, then peaks that are longer than max_peak_size
would be splitted into smaller peaks using split_long_peaks
.
Usage
call_peaks(
marginal_track,
quantile_thresh = 0.9,
min_umis = 8,
canonize = TRUE,
split_peaks = FALSE,
target_size = 500,
max_peak_size = 1000,
very_long = 5000,
min_peak_size = 200,
window_size = target_size,
genome = NULL,
keep_marginal = FALSE,
seed = 60427
)
Arguments
- marginal_track
Name of the 'misha' track to call peaks from. You can create it using
import_atac_marginal
.- quantile_thresh
Quantile of the marginal track above which peaks are called.
- min_umis
Minimal number of UMIs to call a peak.
- canonize
Whether to canonize the peaks using
canonize_peaks
. Default is TRUE.- split_peaks
Split peaks that are longer than
max_peak_size
into smaller peaks usingsplit_long_peaks
. Default is FALSE.- target_size
The target size of peaks.
- max_peak_size
Peaks above this size would be splitted into smaller peaks.
- very_long
Peaks above this size would be splitted arbitrarily into smaller peaks before fitting the best offset.
- min_peak_size
Peaks below this size would be discarded.
- window_size
Smoothing window size (from each side of the iterator) to use of the marginal track. Default: traget_size.
- genome
Genome name, such as 'hg19' or 'mm10'. If NULL - the current misha database is used.
- keep_marginal
Whether to keep the marginal track in the output. If TRUE, a column named
marginal
will be added to the output.- seed
random seed for reproducibility (
misha::gquantiles
sometimes samples the data)