recipe triform2

Improved sensitivity, specificity and control of false discovery rates in ChIP-Seq peak finding.



GNU General Public License v3 (GPLv3)



package triform2

(downloads) docker_triform2



depends bioconductor-biocgenerics:

depends bioconductor-genomicranges:

depends bioconductor-iranges:

depends bx-python:

depends joblib:

depends natsort:

depends numpy:

depends pandas:

depends python:


depends r-base:


depends rpy2:


depends scipy:



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 triform2

and update with::

   mamba update triform2

To create a new environment, run:

mamba create --name myenvname triform2

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 `triform2/tags`_ for valid values for ``<tag>``)

Download stats