Python interface to Jim Kent's big binary file (bbi) [1] library from the UCSC Genome Browser source tree using Cython.

This provides read-level access to local and remote bigWig and bigBed files but no write capabilitites. The main feature is fast retrieval of range queries into numpy arrays.

Wheels for pybbi are available on PyPI for Pythons 3.5, 3.6, 3.7, 3.8 on Linux and Mac OSX.

$ pip install pybbi

These accept a local file path or URL.

• bbi.is_bbi(path) --> bool
• bbi.is_bigwig(path) --> bool
• bbi.is_bigbed(path) --> bool
• bbi.chromsizes(path) --> OrderedDict
• bbi.zooms(path) --> list
• bbi.info(path) --> dict

These accept either a bigWig or bigBed file path / URL. The signal of a bigBed file is the genomic coverage of its intervals.

For a single range query:

• bbi.fetch(path, chrom, start, end, [bins [, missing [, oob, [, summary]]]]) --> 1D numpy array

For a list of equal-length segments (i.e. to produce a stacked heatmap):

• bbi.stackup(path, chroms, starts, ends, [bins [, missing [, oob, [, summary]]]]) --> 2D numpy array

Summary querying is supported by specifying the number of bins for coarsegraining. The summary statistic can be one of: 'mean', 'min', 'max', 'cov', or 'std'. (default = 'mean').

Missing data can be filled with a custom fill value, missing (default = 0).

Out-of-bounds ranges (i.e. start less than zero or end greater than the chromosome length) are permitted because of their utility e.g., for generating vertical heatmap stacks centered at specific genomic features. A separate custom fill value, oob can be provided for out-of-bounds positions (default = NaN).

Accepts either a bigWig or bigBed file path / URL.

• bbi.fetch_intervals(path, chrom, start, end) --> iterator

See the docstrings for complete documentation.

• libBigWig: Alternative C library for bigWig and bigBed files by Devon Ryan
• pyBigWig: Python bindings for libBigWig by the same author
• bw-python: Alternative Python wrapper to libBigWig by Brent Pederson
• bx-python: Python bioinformatics library from James Taylor's group that includes tools for bbi files.

This library provides bindings to the reference UCSC bbi library code. Check out @dpryan79's libBigWig for an alternative and dedicated C library for big binary files. pyBigWig also provides numpy-based retrieval and bigBed support.

[1]: http://bioinformatics.oxfordjournals.org/content/26/17/2204.full

If wheels for your platform or Python version aren't available or you want to develop, you'll need to install pybbi from source. The source distribution on PyPI ships with (slightly modified) kent utils source, which will compile before the extension module is built.

Requires

• Linux/MacOS
• C compiler, zlib, pthreads, libpng, openssl, make
• Python 2.7/3.4+
• numpy and cython

On fresh Ubuntu instance, you'll need build-essential, make, zlib1g-dev, libssl-dev, libpng16-dev. It seems to work on the Windows Subsystem for Linux too.

On a Centos/RedHat (rpm) system you'll need gcc, make, zlib-devel, openssl-devel, libpng-devel.

For development, clone the repo and install in editable mode:

$ git clone https://github.com/nvictus/pybbi.git
$ cd pybbi
$ pip install -e .

On OSX, you may get errors about missing header files (e.g., png.h, openssl/sha.h), which even if installed may not be located in standard include locations. Either create the required symlinks or update the C_INCLUDE_PATH environment variable accordingly before installing pybbi.

export C_INCLUDE_PATH="/usr/local/include/libpng:/usr/local/opt/openssl/include:$C_INCLUDE_PATH"

Unfortunately, Kent's C source is not well-behaved library code, as it is littered with error calls that call exit(). pybbi will catch and pre-empt common input errors, but if somehow an internal error does get raised, it will terminate your interpreter instance.