ssvFetchSignal {seqsetvis} | R Documentation

## signal loading framework

### Description

Does nothing unless load_signal is overridden to carry out reading data from file_paths (likely via the appropriate ssvFetch* function, ie. `ssvFetchBigwig` or `ssvFetchBam`

### Usage

    ssvFetchSignal(
      file_paths,
      qgr,
      unique_names = NULL,
      names_variable = "sample",
      file_attribs = NULL,
      win_size = 50,
      win_method = c("sample", "summary")[1],
      return_data.table = FALSE,
      load_signal = function(f, nam, qgr) {     warning("nothing happened, ",
        "supply a function to", "load_signal parameter.") },
      n_cores = getOption("mc.cores", 1),
      n_region_splits = 1,
      force_skip_centerFix = FALSE
    )

### Arguments

`file_paths` | character vector of file_paths to load from. Alternatively, file_paths can be a data.frame or data.table whose first column is a character vector of paths and additial columns will be used as metadata.
`qgr` | GRanges of intervals to return from each file
`unique_names` | unique file ids for each file in file_paths. Default is names of file_paths vector
`names_variable` | character, variable name for column containing unique_names entries. Default is "sample"
`file_attribs` | optional data.frame/data.table with one row per item in file paths. Each column will be a variable added to final tidy output.
`win_size` | numeric/integer window size resolution to load signal at. Default is 50.
`win_method` | character. one of c("sample", "summary"). Determines if `viewGRangesWinSample_dt` or `viewGRangesWinSummary_dt` is used to represent each region in qgr.
`return_data.table` | logical. If TRUE data.table is returned instead of GRanges, the default.
`load_signal` | function taking f, nam, and qgr arguments. f is from file_paths, nam is from unique_names, and qgr is qgr. See details.
`n_cores` | integer number of cores to use. Uses mc.cores option if not supplied.
`n_region_splits` | integer number of splits to apply to qgr. The query GRanges will be split into this many roughly equal parts for increased parallelization. Default is 1, no split.
`force_skip_centerFix` | boolean, if TRUE all query ranges will be used "as is". This is already the case by default if win_method == "summary" but may have applications where win_method == "sample".

### Details

load_signal is passed f, nam, and qgr and is executed in the environment where load_signal is defined. See `ssvFetchBigwig` and `ssvFetchBam` for examples.

### Value

A GRanges with values read from file_paths at intervals of win_size. Originating file is coded by unique_names and assigned to column of name names_variable. Output is data.table is return_data.table is TRUE.

### Examples

    library(GenomicRanges)
    bam_f = system.file("extdata/test.bam",
        package = "seqsetvis", mustWork = TRUE)
    bam_files = c("a" = bam_f, "b" = bam_f)
    qgr = CTCF_in_10a_overlaps_gr[1:2]
    qgr = resize(qgr, 500, "center")
    load_bam = function(f, nam, qgr) {
        message("loading ", f, " ...")
        dt = seqsetvis:::ssvFetchBam.single(bam_f = f,
                          qgr = qgr,
                          win_size = 50,
                          fragLen = NULL,
                          target_strand = "*",
                          return_data.table = TRUE)
        dt[["sample"]] = nam
        message("finished loading ", nam, ".")
        dt
    }
    ssvFetchSignal(bam_files, qgr, load_signal = load_bam)

[Package seqsetvis version 1.10.0 Index]