- recipe bioconductor-chic
Quality Control Pipeline for ChIP-Seq Data
- Homepage:
- License:
GPL-2
- Recipe:
Quality control (QC) pipeline for ChIP-seq data using a comprehensive set of QC metrics, including previously proposed metrics as well as novel ones, based on local characteristics of the enrichment profile. The package provides functions to calculate a set of QC metrics, a compendium with reference values and machine learning models to score sample quality.
- package bioconductor-chic¶
- versions:
1.19.0-0
,1.18.0-0
,1.14.0-0
,1.12.0-0
,1.10.0-1
,1.10.0-0
,1.8.0-0
,1.6.0-1
,1.4.0-1
,1.19.0-0
,1.18.0-0
,1.14.0-0
,1.12.0-0
,1.10.0-1
,1.10.0-0
,1.8.0-0
,1.6.0-1
,1.4.0-1
,1.2.0-1
,1.2.0-0
- depends bioconductor-biocgenerics:
>=0.46.0,<0.47.0
- depends bioconductor-chic.data:
>=1.20.0,<1.21.0
- depends bioconductor-genomeintervals:
>=1.56.0,<1.57.0
- depends bioconductor-genomicranges:
>=1.52.0,<1.53.0
- depends bioconductor-iranges:
>=2.34.0,<2.35.0
- depends bioconductor-rsamtools:
>=2.16.0,<2.17.0
- depends bioconductor-s4vectors:
>=0.38.0,<0.39.0
- depends r-base:
>=4.3,<4.4.0a0
- depends r-caret:
- depends r-catools:
- depends r-progress:
- depends r-randomforest:
- depends r-spp:
- 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 bioconductor-chic and update with:: mamba update bioconductor-chic
To create a new environment, run:
mamba create --name myenvname bioconductor-chic
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/bioconductor-chic:<tag> (see `bioconductor-chic/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-chic/README.html)