LinkedElements: Determines elements linked by loop anchors

In LoopRig: Integration and Analysis of Chromatin Loop Data

Description

Using a finalized LoopRanges loops object and two sets of elements, determines which elements are linked by loops through overlap of anchor regions

Usage

LinkedElements(loop_ranges, element_ranges_x, element_ranges_y,
  range_out_x = FALSE, range_out_y = FALSE, overlap_threshold = 1)

Arguments

loop_ranges	A single LoopRanges object that has been subset to one range through ConsensusLoops().
element_ranges_x	A subset ElementRanges class object. Subset appropriate ranges by using list indexing.
element_ranges_y	A subset ElementRanges class object. Subset appropriate ranges by using list indexing.
range_out_x	A boolean indicating if the output should be a subset element ranges object for element_ranges_x instead of the default dataframe. (default = FALSE)
range_out_y	A boolean indicating if the output should be a subset element ranges object for element_ranges_y instead of the default dataframe. (default = FALSE)
overlap_threshold	Single numerical input for significant base-pair overlap to be considered 'overlapping'. Default is 1 bp.

Value

Returns a dataframe indicating the unique element links present in the form of their first metadata columns. The element_ranges_x are always under column 1, and element_ranges_y are always under column 2.

Examples

# Load enhancer and promoter elements into an ElementRanges object
enhancers <- system.file("extdata/elements", "enhancers.bed", package = "LoopRig", mustWork = TRUE)
promoters <- system.file("extdata/elements", "promoters.bed", package = "LoopRig", mustWork = TRUE)
element_ranges <- ElementsToRanges(enhancers, promoters, 
element_names = c("enhancers", "promoters"), 
custom_cols = 1, custom_mcols = 4)

# Load loops into LoopRanges object and determine consensus loops (keep all)
ovary_loops <- system.file("extdata/loops", "ovary_hg19.bedpe", 
package = "LoopRig", mustWork = TRUE)
pancreas_loops <- system.file("extdata/loops", "pancreas_hg19.bedpe", 
package = "LoopRig", mustWork = TRUE)
loops <- LoopsToRanges(ovary_loops, pancreas_loops, custom_cols = 0)
consensus_loops <- ConsensusLoops(loops, keep_all = TRUE)

# Based on consensus loops, determine which enhancers and promoters 
# are connected based on loop anchors 
LinkedElements(consensus_loops, element_ranges[[1]], element_ranges[[2]])  

LoopRig documentation built on Jan. 11, 2020, 9:27 a.m.