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Bigtools provides a high-level, performant API for reading and writing bigWig and bigBed files.

The original file format specification for bigWig and bigBed files is defined in this paper: https://doi.org/10.1093/bioinformatics/btq351

§Reading

The entrypoint to reading bigWigs and bigBeds is BigWigRead::open and BigBedRead::open, respectively. These take any type that implements both Read and Seek. There are also BigWigRead::open_file and BigBedRead::open_file, which take a &str and will open a File.

Once a BigWigRead or BigBedRead have been constructed, they can be read in a number of ways. First, the info (in the form of BBIFileInfo) is available in info fields. However, to access the main data, the most common method to call is BigWigRead::get_interval or BigBedRead::get_interval, which returns an Iterator of Values or BedEntrys overlapping the provided region, respectively.

§Writing

Writing new bigWigs and bigBeds is a tad more difficult. To begin, a BigWigWrite or BigBedWrite can be created using BigWigWrite::create_file or BigBedWrite::create_file.

Generally, bigWig and bigBed writing is done per chromosome, with compression and io being done on an async Runtime.

The source for data to be written to bigWigs and bigBeds come from the BBIDataSource trait. It is used to abstracts over processing the data for a bbi file. It is a lower-level API that can be useful for custom value generation or scheduling logic. Generally though, users should not need to implement this directly, but rather use provided structs BedParserStreamingIterator and BedParserParallelStreamingIterator types providing serial processing of a bed-like value stream (either from a file or an iterator) or concurrent processing from a file. See the documentation on the trait for more detailed information on how to implement.

Given some implementation of BBIDataSource (like BedParserStreamingIterator), a bigWig can be created using BigWigWrite::write or a bigBed with BigBedWrite::write. Both take a map of chromosome sizes, the aforementioned data, and a Runtime to spawn processing on.

Modules§

  • Contains utilities useful for reading and writing bed files and bed-like data.
  • The types here (BedParserStreamingIterator and BedParserParallelStreamingIterator) process incoming bed-like data and process into bigWig and bigBed files.

Structs§

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Traits§

  • This trait abstracts over processing the data for a bbi file. Generally, users should not need to implement this directly, but rather use provided structs like BedParserStreamingIterator. However, this does provide a lower-level API that can be useful for custom value generation or scheduling logic.
  • Generic methods for reading a bbi file