- recipe biasaway
BiasAway: a tool to generate composition-matched background sequences
- Homepage:
- Documentation:
- License:
GPL / GPLv3
- Recipe:
BiasAway provides user with four models for generating background sequences useful to enrichment analyses. These backgrounds derived from mono- and di- nucleotide shuffled sequences, and genomic sequences matched to the GC content of the target data.
- package biasaway¶
- versions:
3.3.0-0,3.2.7-0,3.2.5-0,3.2.4-0,3.2.3-0,2.2.2-0,2.2.1-0,2.1.0-0,2.0.4-0,3.3.0-0,3.2.7-0,3.2.5-0,3.2.4-0,3.2.3-0,2.2.2-0,2.2.1-0,2.1.0-0,2.0.4-0,2.0.1-0,1.0.4-0,1.0.2-0- depends biopython:
- depends cyushuffle:
- depends matplotlib-base:
- depends numpy:
- depends python:
>=3.4- depends scikit-learn:
- depends seaborn:
- requirements:
- additional platforms:
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 biasaway and update with:: mamba update biasaway
To create a new environment, run:
mamba create --name myenvname biasaway
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/biasaway:<tag> (see `biasaway/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/biasaway/README.html)
