junction_union: Get the union of junctions from 2 or more compilations which...

In snapcount: R/Bioconductor Package for interfacing with Snaptron for rapid querying of expression counts

Description

This function queries 2 or more compilations which are on the same reference version (e.g. hg38) and merges the resulting junctions into a single output table, unioning the sample coverage columns and the snaptron_id (jx ID) columns (the latter delimiter will be ":"). All sample IDs will be disjoint between compilations.

Usage

junction_union(...)

Arguments

...	One or more QueryBuilder objects

Details

Union is based on the following fields (combined into a comparison key):

• group

• chromosome

• start

• end

• strand

The goal is to have a single list of junctions where every junction occurs in at least one compilation and if a junction occurs in > 1 compilations it still only has a single row representing all the samples across compilations that it appears in. Sample aggregate statistics will be recalculated for junctions which are merged across all samples from all compilations:

• sample_count

• coverage_sum

• coverage_avg

• coverage_median

Value

A RangedSummarizedExperiment of junctions appearing in at least one compilation

See Also

junction_intersection()

Examples

# Using query builder wrappers
sb1 <- QueryBuilder(compilation = "gtex", regions = "chr1:1879786-1879786")
sb1 <- set_coordinate_modifier(sb1, Coordinates$EndIsExactOrWithin)
sb1 <- set_row_filters(sb1, strand == "-")

sb2 <- QueryBuilder(compilation = "tcga", regions = "chr1:1879786-1879786")
sb2 <- set_coordinate_modifier(sb2, Coordinates$EndIsExactOrWithin)
sb2 <- set_row_filters(sb2, strand == "-")

junction_union(sb1, sb2)

snapcount documentation built on Nov. 8, 2020, 4:53 p.m.