Package {cpp11bigwig}

cpp11bigwig: read data from bigWig files

Description

bigwig provides methods to read data from bigWig files. bigwig uses cpp11 to wrap libBigWig from @dpryan79.

Details

https://github.com/dpryan79/libBigWig

Author(s)

Jay Hesselberth jay.hesselberth@gmail.com

See Also

Useful links:

• https://rnabioco.github.io/cpp11bigwig/

• https://github.com/rnabioco/cpp11bigwig

• Report bugs at https://github.com/rnabioco/cpp11bigwig/issues

Report header metadata for a bigBed file.

Description

Reads the bigBed header without loading any intervals. This is useful for identifying the BED variant a file holds before reading it: a genuine BED12 has defined_field_count == 12, whereas a bed9+3 file (9 standard BED columns plus 3 custom fields) has defined_field_count == 9 and field_count == 12.

Usage

bigbed_info(bbfile)

Arguments

Value

A named list with elements version, n_chroms, field_count, defined_field_count, n_bases_covered, and autosql (the embedded autoSql schema string, or "" when the file has none).

See Also

read_bigbed(), bigwig_info()

Examples

bb <- system.file("extdata", "test.bb", package = "cpp11bigwig")

info <- bigbed_info(bb)
info$defined_field_count

Report header metadata and summary statistics for a bigWig file.

Description

Reads the bigWig header without loading any intervals. The summary statistics (min, max, mean, std) are the file-level values stored in the header and computed over all covered bases.

Usage

bigwig_info(bwfile)

Arguments

Value

A named list with elements version, n_levels, n_chroms, n_bases_covered, min, max, mean, and std.

See Also

read_bigwig(), bigbed_info()

Examples

bw <- system.file("extdata", "test.bw", package = "cpp11bigwig")

bigwig_info(bw)

Read data from bigBed files.

Description

Columns are automatically typed based on the autoSql schema embedded in the bigBed file. Integer types (uint, int) become R integers, floating point types (float, double) become R doubles, and all other types (including array types like int[blockCount]) remain as character strings.

Usage

read_bigbed(bbfile, chrom = NULL, start = NULL, end = NULL)

Arguments

Details

When a bigBed file has no embedded autoSql schema (for example one produced by bedToBigBed without -as), columns are still recovered using the standard BED field names (name, score, strand, thickStart, thickEnd, itemRgb, blockCount, blockSizes, blockStarts) derived from the file's field counts. Any additional (bedN+) fields beyond the standard BED columns are returned as generic fieldN character columns. Because those names are inferred rather than declared by the file, a message() is emitted in this case; silence it with base::suppressMessages().

Value

tibble

See Also

https://github.com/dpryan79/libBigWig

https://github.com/brentp/bw-python

Examples

bb <- system.file("extdata", "test.bb", package = "cpp11bigwig")

read_bigbed(bb)

read_bigbed(bb, chrom = "chr10")

# query several chromosomes in one call
read_bigbed(bb, chrom = c("chr1", "chr10"))

# restrict each query to a window
read_bigbed(bb, chrom = c("chr1", "chr10"), start = c(0, 0), end = c(5e6, 5e6))

# pass a GRanges of regions; 1-based coords are converted automatically
gr <- GenomicRanges::GRanges(
  c("chr1", "chr10"),
  IRanges::IRanges(start = 1, width = 1e7)
)
read_bigbed(bb, chrom = gr)

Read data from bigWig files.

Description

Read data from bigWig files.

Usage

read_bigwig(
  bwfile,
  chrom = NULL,
  start = NULL,
  end = NULL,
  as = NULL,
  fill = 0
)

Arguments

Details

Multiple ranges can be queried in one call by passing equal-length (or length-1, recycled) chrom, start, and end vectors, where range i is ⁠(chrom[i], start[i], end[i])⁠. Alternatively, pass a GenomicRanges::GRanges as chrom; its regions are used directly. Because GRanges is 1-based and inclusive while bigWig is 0-based and half-open, a region is converted as start(gr) - 1 to end(gr).

When as = "Rle", the result is an S4Vectors::Rle whose expanded length equals the queried range, i.e. end - start when both are supplied, otherwise the extent of the returned data for each chromosome. Bases with no data in the file are set to fill. bigWig coordinates are 0-based and half-open, so element i corresponds to genomic position start + i - 1. A single-range query returns a bare Rle; a multi-range (or multi-chromosome) query returns a named IRanges::RleList with one element per range.

Value

A tibble, GRanges, or Rle/RleList depending on as.

See Also

https://github.com/dpryan79/libBigWig

https://github.com/brentp/bw-python

Examples

bw <- system.file("extdata", "test.bw", package = "cpp11bigwig")

read_bigwig(bw)

read_bigwig(bw, chrom = "10")

read_bigwig(bw, chrom = "1", start = 100, end = 130)

read_bigwig(bw, as = "GRanges")

read_bigwig(bw, chrom = "1", start = 100, end = 130, as = "Rle")

# query several ranges in one call with equal-length vectors
read_bigwig(bw, chrom = c("1", "10"), start = c(0, 0), end = c(50, 50))

# multiple windows on the same chromosome (chrom recycles)
read_bigwig(bw, chrom = "1", start = c(0, 100), end = c(50, 130))

# a multi-range "Rle" query returns a named RleList, one element per range
read_bigwig(bw, chrom = "1", start = c(0, 100), end = c(50, 130), as = "Rle")

# pass a GRanges of regions; 1-based coords are converted automatically
gr <- GenomicRanges::GRanges(
  c("1", "10"),
  IRanges::IRanges(start = c(1, 1), end = c(50, 50))
)
read_bigwig(bw, chrom = gr)