recipe bioconductor-tsar

Thermal Shift Analysis in R

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/TSAR.html

License:

AGPL-3

Recipe:

/bioconductor-tsar/meta.yaml

This package automates analysis workflow for Thermal Shift Analysis (TSAS) data. Processing, analyzing, and visualizing data through both shiny applications and command lines. Package aims to simplify data analysis and offer front to end workflow, from raw data to multiple trial analysis.

package bioconductor-tsar

(downloads) docker_bioconductor-tsar

versions:

1.0.0-0

depends r-base:

>=4.3,<4.4.0a0

depends r-dplyr:

>=1.0.7

depends r-ggplot2:

>=3.3.5

depends r-ggpubr:

>=0.4.0

depends r-jsonlite:

>=1.8.7

depends r-magrittr:

>=2.0.3

depends r-mgcv:

>=1.8.38

depends r-minpack.lm:

>=1.2.3

depends r-openxlsx:

>=4.2.5.2

depends r-plotly:

>=4.10.2

depends r-readxl:

>=1.4.0

depends r-rhandsontable:

>=0.3.8

depends r-shiny:

>=1.7.4.1

depends r-shinyjs:

>=2.1.0

depends r-shinywidgets:

>=0.7.6

depends r-stringr:

>=1.4.0

depends r-tidyr:

>=1.1.4

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-tsar

and update with::

   mamba update bioconductor-tsar

To create a new environment, run:

mamba create --name myenvname bioconductor-tsar

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-tsar:<tag>

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

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