recipe bioconductor-nestlink

NestLink an R data package to guide through Engineered Peptide Barcodes for In-Depth Analyzes of Binding Protein Ensembles

Homepage:

https://bioconductor.org/packages/3.18/data/experiment/html/NestLink.html

License:

GPL

Recipe:

/bioconductor-nestlink/meta.yaml

Provides next-generation sequencing (NGS) and mass spectrometry (MS) sample data, code snippets and replication material used for developing NestLink. The NestLink approach is a protein binder selection and identification technology able to biophysically characterize thousands of library members at once without handling individual clones at any stage of the process. Data were acquired on NGS and MS platforms at the Functional Genomics Center Zurich.

package bioconductor-nestlink

versions:

1.18.0-0,  1.16.0-0,  1.14.0-0,  1.10.0-1,  1.10.0-0,  1.8.0-0,  1.6.0-1,  1.6.0-0,  1.4.0-0, 

1.18.0-0,  1.16.0-0,  1.14.0-0,  1.10.0-1,  1.10.0-0,  1.8.0-0,  1.6.0-1,  1.6.0-0,  1.4.0-0,  1.2.0-0,  1.0.0-1

depends bioconductor-annotationhub:

>=3.10.0,<3.11.0

depends bioconductor-biostrings:

>=2.70.0,<2.71.0

depends bioconductor-data-packages:

>=20231203

depends bioconductor-experimenthub:

>=2.10.0,<2.11.0

depends bioconductor-shortread:

>=1.60.0,<1.61.0

depends curl:

depends r-base:

>=4.3,<4.4.0a0

depends r-gplots:

>=3.0

depends r-protviz:

>=0.4

requirements:

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-nestlink

and update with::

   mamba update bioconductor-nestlink

To create a new environment, run:

mamba create --name myenvname bioconductor-nestlink

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-nestlink:<tag>

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

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