recipe bioconductor-rolde

RolDE: Robust longitudinal Differential Expression

Homepage:

https://bioconductor.org/packages/3.20/bioc/html/RolDE.html

License:

GPL-3

Recipe:

/bioconductor-rolde/meta.yaml

RolDE detects longitudinal differential expression between two conditions in noisy high-troughput data. Suitable even for data with a moderate amount of missing values.RolDE is a composite method, consisting of three independent modules with different approaches to detecting longitudinal differential expression. The combination of these diverse modules allows RolDE to robustly detect varying differences in longitudinal trends and expression levels in diverse data types and experimental settings.

package bioconductor-rolde

(downloads) docker_bioconductor-rolde

Versions:

1.14.0-01.10.0-01.6.0-01.4.0-01.2.0-0

Depends:
  • on bioconductor-qvalue >=2.42.0,<2.43.0

  • on bioconductor-rots >=2.2.0,<2.3.0

  • on bioconductor-summarizedexperiment >=1.40.0,<1.41.0

  • on r-base >=4.5,<4.6.0a0

  • on r-doparallel

  • on r-dorng

  • on r-foreach

  • on r-matrixstats

  • on r-nlme

  • on r-rngtools

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-rolde

to add into an existing workspace instead, run:

pixi add bioconductor-rolde

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-rolde

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-rolde

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-rolde:<tag>

(see bioconductor-rolde/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.

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