recipe bioconductor-hiiragi2013

Cell-to-cell expression variability followed by signal reinforcement progressively segregates early mouse lineages






This package contains the experimental data and a complete executable transcript (vignette) of the statistical analysis presented in the paper "Cell-to-cell expression variability followed by signal reinforcement progressively segregates early mouse lineages" by Y. Ohnishi, W. Huber, A. Tsumura, M. Kang, P. Xenopoulos, K. Kurimoto, A. K. Oles, M. J. Arauzo-Bravo, M. Saitou, A.-K. Hadjantonakis and T. Hiiragi; Nature Cell Biology (2014) 16(1): 27-37. doi: 10.1038/ncb2881."

package bioconductor-hiiragi2013

(downloads) docker_bioconductor-hiiragi2013



depends bioconductor-affy:


depends bioconductor-biobase:


depends bioconductor-data-packages:


depends bioconductor-genefilter:


depends bioconductor-geneplotter:


depends bioconductor-keggrest:


depends bioconductor-mouse4302.db:


depends curl:

depends r-base:


depends r-boot:

depends r-clue:

depends r-cluster:

depends r-gplots:

depends r-gtools:

depends r-lattice:

depends r-latticeextra:

depends r-mass:

depends r-rcolorbrewer:

depends r-xtable:



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-hiiragi2013

and update with::

   mamba update bioconductor-hiiragi2013

To create a new environment, run:

mamba create --name myenvname bioconductor-hiiragi2013

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<tag>

(see `bioconductor-hiiragi2013/tags`_ for valid values for ``<tag>``)

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