recipe bioconductor-baalchip

BaalChIP: Bayesian analysis of allele-specific transcription factor binding in cancer genomes







biotools: baalchip, doi: 10.1186/s13059-017-1165-7

The package offers functions to process multiple ChIP-seq BAM files and detect allele-specific events. Computes allele counts at individual variants (SNPs/SNVs), implements extensive QC steps to remove problematic variants, and utilizes a bayesian framework to identify statistically significant allele- specific events. BaalChIP is able to account for copy number differences between the two alleles, a known phenotypical feature of cancer samples.

package bioconductor-baalchip

(downloads) docker_bioconductor-baalchip



depends bioconductor-genomeinfodb:


depends bioconductor-genomicalignments:


depends bioconductor-genomicranges:


depends bioconductor-iranges:


depends bioconductor-rsamtools:


depends r-base:


depends r-coda:

depends r-doby:

depends r-doparallel:

depends r-foreach:

depends r-ggplot2:

depends r-reshape2:

depends r-scales:



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 bioconductor-baalchip

and update with::

   mamba update bioconductor-baalchip

To create a new environment, run:

mamba create --name myenvname bioconductor-baalchip

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 `bioconductor-baalchip/tags`_ for valid values for ``<tag>``)

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