Quantifies fragment counts per cell in fixed-size genome bins across the whole genome, then removes bins with less than a desired minimum number of counts in the bin, then merges adjacent tiles into a single region.
Usage
AggregateTiles(object, ...)
# S3 method for class 'Seurat'
AggregateTiles(
object,
genome,
assay = NULL,
new.assay.name = "tiles",
min_counts = 5,
binsize = 5000,
verbose = TRUE,
...
)
# S3 method for class 'ChromatinAssay5'
AggregateTiles(
object,
genome,
min_counts = 5,
binsize = 5000,
verbose = TRUE,
...
)
# Default S3 method
AggregateTiles(
object,
genome,
cells = NULL,
min_counts = 5,
binsize = 5000,
verbose = TRUE,
...
)Arguments
- object
A Seurat object or ChromatinAssay object
- ...
Additional arguments passed to other methods
- genome
genome A vector of chromosome sizes for the genome. This is used to construct the genome bin coordinates. The can be obtained by calling seqlengths on a BSgenome-class object.
- assay
Name of assay to use
- new.assay.name
Name of new assay to create containing aggregated genome tiles
- min_counts
Minimum number of counts for a tile to be retained prior to aggregation
- binsize
Size of the genome bins (tiles) in base pairs
- verbose
Display messages
- cells
Cells to include
Value
When running on a Seurat object, returns the Seurat object with a new ChromatinAssay5 assay added.
When running on a ChromatinAssay5, returns a new
ChromatinAssay5 containing the aggregated genome tiles.
When running on a fragment file, returns a sparse region x cell matrix.