recipe bioconductor-spiat

Spatial Image Analysis of Tissues

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/SPIAT.html

License:

Artistic-2.0 + file LICENSE

Recipe:

/bioconductor-spiat/meta.yaml

SPIAT (**Sp**atial **I**mage **A**nalysis of **T**issues) is an R package with a suite of data processing, quality control, visualization and data analysis tools. SPIAT is compatible with data generated from single-cell spatial proteomics platforms (e.g. OPAL, CODEX, MIBI, cellprofiler). SPIAT reads spatial data in the form of X and Y coordinates of cells, marker intensities and cell phenotypes. SPIAT includes six analysis modules that allow visualization, calculation of cell colocalization, categorization of the immune microenvironment relative to tumor areas, analysis of cellular neighborhoods, and the quantification of spatial heterogeneity, providing a comprehensive toolkit for spatial data analysis.

package bioconductor-spiat

versions:

1.4.1-0,  1.2.2-0,  1.0.0-0

depends bioconductor-dittoseq:

>=1.14.0,<1.15.0

depends bioconductor-spatialexperiment:

>=1.12.0,<1.13.0

depends bioconductor-summarizedexperiment:

>=1.32.0,<1.33.0

depends r-apcluster:

>=1.4.7

depends r-base:

>=4.3,<4.4.0a0

depends r-dbscan:

>=1.1-5

depends r-dplyr:

>=0.8.3

depends r-ggplot2:

>=3.2.1

depends r-gridextra:

>=2.3

depends r-gtools:

>=3.8.1

depends r-mmand:

>=1.5.4

depends r-pracma:

>=2.2.5

depends r-rann:

>=2.6.1

depends r-raster:

depends r-reshape2:

>=1.4.3

depends r-rlang:

depends r-sp:

depends r-spatstat.explore:

depends r-spatstat.geom:

depends r-tibble:

>=2.1.3

depends r-vroom:

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-spiat

and update with::

   mamba update bioconductor-spiat

To create a new environment, run:

mamba create --name myenvname bioconductor-spiat

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-spiat:<tag>

(see `bioconductor-spiat/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-spiat/README.html)