- recipe bamslice
Extract byte ranges from BAM files and convert to interleaved FASTQ format for parallel processing
- Homepage:
- Documentation:
- License:
AGPL / AGPL-3.0-only
- Recipe:
- Links:
biotools: bamslice
bamslice extracts specific byte ranges from BAM files and converts them to interleaved FASTQ format. Designed for parallel processing across compute nodes without requiring pre-indexing. It auto-aligns to BGZF block boundaries and guarantees no duplicate reads when using contiguous byte ranges.
- package bamslice¶
- versions:
0.1.0-0- depends bzip2:
>=1.0.8,<2.0a0- depends libcurl:
>=8.16.0,<9.0a0- depends libdeflate:
>=1.22,<1.23.0a0- depends libgcc:
>=13- depends liblzma:
>=5.8.1,<6.0a0- depends libzlib:
>=1.3.1,<2.0a0- depends openssl:
>=3.5.4,<4.0a0- requirements:
- additional platforms:
linux-aarch64,osx-arm64
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install bamslice and update with:: mamba update bamslice
To create a new environment, run:
mamba create --name myenvname bamslice
with
myenvnamebeing a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, use the docker container:
docker pull quay.io/biocontainers/bamslice:<tag> (see `bamslice/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bamslice/README.html)