- recipe bioconductor-metcirc
Navigating mass spectral similarity in high-resolution MS/MS metabolomics data metabolomics data
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/MetCirc.html
- License:
GPL (>= 3)
- Recipe:
- Links:
biotools: metcirc, doi: 10.1093/bioinformatics/btx159
MetCirc comprises a workflow to interactively explore high-resolution MS/MS metabolomics data. MetCirc uses the Spectra object infrastructure defined in the package Spectra that stores MS/MS spectra. MetCirc offers functionality to calculate similarity between precursors based on the normalised dot product, neutral losses or user-defined functions and visualise similarities in a circular layout. Within the interactive framework the user can annotate MS/MS features based on their similarity to (known) related MS/MS features.
- package bioconductor-metcirc¶
- versions:
1.32.0-0
,1.30.0-0
,1.28.0-0
,1.24.0-0
,1.22.0-0
,1.20.0-1
,1.20.0-0
,1.18.0-0
,1.16.0-0
,1.32.0-0
,1.30.0-0
,1.28.0-0
,1.24.0-0
,1.22.0-0
,1.20.0-1
,1.20.0-0
,1.18.0-0
,1.16.0-0
,1.14.0-1
,1.14.0-0
,1.12.1-0
,1.10.0-0
,1.6.0-0
,1.2.0-0
- depends bioconductor-mscoreutils:
>=1.14.0,<1.15.0
- depends bioconductor-s4vectors:
>=0.40.0,<0.41.0
- depends bioconductor-spectra:
>=1.12.0,<1.13.0
- depends r-amap:
>=0.8
- depends r-base:
>=4.3,<4.4.0a0
- depends r-circlize:
>=0.3.9
- depends r-ggplot2:
>=3.2.1
- depends r-scales:
>=0.3.0
- depends r-shiny:
>=1.0.0
- 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-metcirc and update with:: mamba update bioconductor-metcirc
To create a new environment, run:
mamba create --name myenvname bioconductor-metcirc
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-metcirc:<tag> (see `bioconductor-metcirc/tags`_ for valid values for ``<tag>``)
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-metcirc/README.html)