Package Recipe 'bioconductor-tcgabiolinks'

recipe bioconductor-tcgabiolinks

TCGAbiolinks: An R/Bioconductor package for integrative analysis with GDC data

Homepage:: https://bioconductor.org/packages/3.20/bioc/html/TCGAbiolinks.html
License:: GPL (>= 3)
Recipe:: /bioconductor-tcgabiolinks/meta.yaml
Links:: biotools: tcgabiolinks, doi: 10.1093/nar/gkv1507

The aim of TCGAbiolinks is : i) facilitate the GDC open-access data retrieval, ii) prepare the data using the appropriate pre-processing strategies, iii) provide the means to carry out different standard analyses and iv) to easily reproduce earlier research results. In more detail, the package provides multiple methods for analysis (e.g., differential expression analysis, identifying differentially methylated regions) and methods for visualization (e.g., survival plots, volcano plots, starburst plots) in order to easily develop complete analysis pipelines.

package bioconductor-tcgabiolinks¶

Versions:

2.38.0-0, 2.34.0-0, 2.30.0-0, 2.28.3-0, 2.25.3-0, 2.22.1-0, 2.20.0-0, 2.18.0-1, 2.18.0-0,

2.38.0-0, 2.34.0-0, 2.30.0-0, 2.28.3-0, 2.25.3-0, 2.22.1-0, 2.20.0-0, 2.18.0-1, 2.18.0-0, 2.16.0-0, 2.14.0-0, 2.12.3-0, 2.10.0-0, 2.8.4-0, 2.6.11-0

Depends:

on bioconductor-biomart >=2.66.0,<2.67.0
on bioconductor-genomicranges >=1.62.0,<1.63.0
on bioconductor-iranges >=2.44.0,<2.45.0
on bioconductor-s4vectors >=0.48.0,<0.49.0
on bioconductor-summarizedexperiment >=1.40.0,<1.41.0
on bioconductor-tcgabiolinksgui.data >=1.30.0,<1.31.0
on r-base >=4.5,<4.6.0a0
on r-data.table
on r-downloader >=0.4
on r-dplyr
on r-ggplot2
on r-httr >=1.2.1
on r-jsonlite >=1.0.0
on r-knitr
on r-plyr
on r-purrr
on r-r.utils
on r-readr
on r-rvest >=0.3.0
on r-stringr >=1.0.0
on r-tibble
on r-tidyr
on r-xml >=3.98.0
on r-xml2

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-tcgabiolinks

to add into an existing workspace instead, run:

pixi add bioconductor-tcgabiolinks

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-tcgabiolinks

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-tcgabiolinks

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-tcgabiolinks:<tag>

(see bioconductor-tcgabiolinks/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:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-tcgabiolinks/README.html)