recipe bioconductor-iranges

Foundation of integer range manipulation in Bioconductor

Homepage:

https://bioconductor.org/packages/3.22/bioc/html/IRanges.html

License:

Artistic-2.0

Recipe:

/bioconductor-iranges/meta.yaml

Links:

biotools: iranges

Provides efficient low-level and highly reusable S4 classes for storing, manipulating and aggregating over annotated ranges of integers. Implements an algebra of range operations, including efficient algorithms for finding overlaps and nearest neighbors. Defines efficient list-like classes for storing, transforming and aggregating large grouped data, i.e., collections of atomic vectors and DataFrames.

package bioconductor-iranges

(downloads) docker_bioconductor-iranges

Versions:
2.44.0-1,  2.44.0-0,  2.40.0-2,  2.40.0-1,  2.40.0-0,  2.36.0-2,  2.36.0-1,  2.36.0-0,  2.34.1-0, 

2.44.0-1,  2.44.0-0,  2.40.0-2,  2.40.0-1,  2.40.0-0,  2.36.0-2,  2.36.0-1,  2.36.0-0,  2.34.1-0,  2.32.0-1,  2.32.0-0,  2.28.0-2,  2.28.0-1,  2.28.0-0,  2.26.0-0,  2.24.1-0,  2.24.0-0,  2.22.1-0,  2.20.0-0,  2.18.2-0,  2.18.1-0,  2.16.0-0,  2.14.12-0,  2.12.0-0,  2.10.5-0,  2.8.2-0,  2.8.0-0,  2.6.1-0,  2.6.0-0,  2.4.8-0,  2.4.7-0,  2.4.6-0,  2.4.1-0,  2.4.0-0,  2.2.9-0

Depends:

  • on bioconductor-biocgenerics >=0.56.0,<0.57.0

  • on bioconductor-biocgenerics >=0.56.0,<0.57.0a0

  • on bioconductor-s4vectors >=0.48.0,<0.49.0

  • on bioconductor-s4vectors >=0.48.0,<0.49.0a0

  • on libblas >=3.9.0,<4.0a0

  • on libgcc >=14

  • on liblapack >=3.9.0,<4.0a0

  • on liblzma >=5.8.2,<6.0a0

  • on libzlib >=1.3.1,<2.0a0

  • on r-base >=4.5,<4.6.0a0

Additional platforms:
linux-aarch64,  osx-arm64

Installation

You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).

Pixi

With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:

pixi global install bioconductor-iranges

to add into an existing workspace instead, run:

pixi add bioconductor-iranges

In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:

pixi workspace channel add conda-forge
pixi workspace channel add bioconda

Conda

With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:

conda install bioconductor-iranges

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-iranges

with envname being the name of the desired environment.

Container

Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:

docker pull quay.io/biocontainers/bioconductor-iranges:<tag>

(see bioconductor-iranges/tags for valid values for <tag>).

Integrated deployment

Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.

Download stats

Link to this page

Render an install-with-bioconda 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-iranges/README.html)