- recipe bioconductor-barcodetrackr
Functions for Analyzing Cellular Barcoding Data
- Homepage:
https://bioconductor.org/packages/3.20/bioc/html/barcodetrackR.html
- License:
file LICENSE
- Recipe:
barcodetrackR is an R package developed for the analysis and visualization of clonal tracking data. Data required is samples and tag abundances in matrix form. Usually from cellular barcoding experiments, integration site retrieval analyses, or similar technologies.
- package bioconductor-barcodetrackr¶
-
- Versions:
1.14.0-0,1.10.0-0,1.8.0-0,1.6.0-0,1.2.0-0,1.0.0-0- Depends:
on bioconductor-s4vectors
>=0.44.0,<0.45.0on bioconductor-summarizedexperiment
>=1.36.0,<1.37.0on r-base
>=4.4,<4.5.0a0on r-circlize
on r-cowplot
on r-dplyr
on r-ggdendro
on r-ggplot2
on r-ggridges
on r-magrittr
on r-plyr
on r-proxy
on r-rcolorbrewer
on r-rlang
on r-scales
on r-shiny
on r-tibble
on r-tidyr
on r-vegan
on r-viridis
- Additional platforms:
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-barcodetrackr
to add into an existing workspace instead, run:
pixi add bioconductor-barcodetrackr
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-barcodetrackr
Alternatively, to install into a new environment, run:
conda create -n envname bioconductor-barcodetrackr
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-barcodetrackr:<tag>
(see bioconductor-barcodetrackr/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 badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-barcodetrackr/README.html)