recipe negative_training_sampler

Generates negative samples with the same GC distribution as the positive samples per chromosome.






package negative_training_sampler

(downloads) docker_negative_training_sampler



depends bedtools:

depends click:

depends dask:

depends pandas:

depends pybedtools:

depends pysam:


depends python:




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 negative_training_sampler

and update with::

   mamba update negative_training_sampler

To create a new environment, run:

mamba create --name myenvname negative_training_sampler

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<tag>

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

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