recipe pheniqs

Pheniqs is a flexible generic barcode classifier for high-throughput next-gen sequencing written in multi threaded C++11. It caters to a wide variety of experimental designs by addressing multiple combinatorial index tags in arbitrary locations along reads. Pheniqs implements a noise and quality aware probabilistic classifier with improved accuracy over standard edit distance methods and reports classification quality in standard SAM auxiliary tags. Please not configuation syntax has slightly changed for 2.1.x version.

Homepage:

http://biosails.github.io/pheniqs

Developer docs:

https://github.com/biosails/pheniqs

License:

GPL3

Recipe:

/pheniqs/meta.yaml

package pheniqs

(downloads) docker_pheniqs

versions:
2.1.0-7,  2.1.0-6,  2.1.0-5,  2.1.0-4,  2.1.0-3,  2.1.0-2,  2.1.0-1,  2.1.0-0,  2.0.6-3, 

2.1.0-7,  2.1.0-6,  2.1.0-5,  2.1.0-4,  2.1.0-3,  2.1.0-2,  2.1.0-1,  2.1.0-0,  2.0.6-3,  2.0.6-2,  2.0.6-1,  2.0.6-0,  2.0.3-1,  2.0.3-0

depends htslib:

>=1.17,<1.21.0a0

depends libgcc-ng:

>=12

depends libstdcxx-ng:

>=12

depends libzlib:

>=1.2.13,<1.3.0a0

depends python:

>=3.10,<3.11.0a0

depends python_abi:

3.10.* *_cp310

depends rapidjson:

depends zlib:

requirements:

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 pheniqs

and update with::

   mamba update pheniqs

To create a new environment, run:

mamba create --name myenvname pheniqs

with myenvname being 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/pheniqs:<tag>

(see `pheniqs/tags`_ for valid values for ``<tag>``)

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Link to this page

Render an install-with-bioconda badge with the following MarkDown:

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