- recipe bioconductor-s4vectors
Foundation of vector-like and list-like containers in Bioconductor
The S4Vectors package defines the Vector and List virtual classes and a set of generic functions that extend the semantic of ordinary vectors and lists in R. Package developers can easily implement vector-like or list-like objects as concrete subclasses of Vector or List. In addition, a few low-level concrete subclasses of general interest (e.g. DataFrame, Rle, Factor, and Hits) are implemented in the S4Vectors package itself (many more are implemented in the IRanges package and in other Bioconductor infrastructure packages).
- package bioconductor-s4vectors¶
- depends bioconductor-biocgenerics:
- depends libblas:
- depends libgcc-ng:
- depends liblapack:
- depends r-base:
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-s4vectors and update with:: mamba update bioconductor-s4vectors
To create a new environment, run:
mamba create --name myenvname bioconductor-s4vectors
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/bioconductor-s4vectors:<tag> (see `bioconductor-s4vectors/tags`_ for valid values for ``<tag>``)