- recipe metawrap-mg
MetaWRAP is a pipeline for genome-resolved metagenomic data analysis
- Homepage:
- License:
MIT
- Recipe:
- package metawrap-annotate-bins#
-
- Versions:
1.3.0-3- Depends:
on metawrap-mg>=1.3.0,<1.4.0a0on prokka1.*
- 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 metawrap-annotate-bins
to add into an existing workspace instead, run:
pixi add metawrap-annotate-bins
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 metawrap-annotate-bins
Alternatively, to install into a new environment, run:
conda create -n envname metawrap-annotate-bins
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/metawrap-annotate-bins:<tag>
(see metawrap-annotate-bins/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.
Download stats
- package metawrap-assembly#
-
- Versions:
1.3.0-3- Depends:
on bowtie22.3.5.*on bwa0.7.17.*on megahit1.1.3.*on metawrap-mg>=1.3.0,<1.4.0a0on quast5.0.2.*on spades3.13.0.*
- 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 metawrap-assembly
to add into an existing workspace instead, run:
pixi add metawrap-assembly
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 metawrap-assembly
Alternatively, to install into a new environment, run:
conda create -n envname metawrap-assembly
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/metawrap-assembly:<tag>
(see metawrap-assembly/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.
Download stats
- package metawrap-binning#
-
- Versions:
1.3.0-3- Depends:
on bwa0.7.17.*on checkm-genome1.0.12.*on concoct1.0.0.*on curlon libgfortran3.*on maxbin22.2.6.*on metabat22.12.1.*on metawrap-mg>=1.3.0,<1.4.0a0on pplacer1.1.alpha19.*on samtools1.9.*
- 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 metawrap-binning
to add into an existing workspace instead, run:
pixi add metawrap-binning
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 metawrap-binning
Alternatively, to install into a new environment, run:
conda create -n envname metawrap-binning
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/metawrap-binning:<tag>
(see metawrap-binning/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.
Download stats
- package metawrap-blobology#
-
- Versions:
1.3.0-3- Depends:
on blast2.6.0.*on bowtie22.3.5.*on metawrap-mg>=1.3.0,<1.4.0a0on perl-bioperlon r-ggplot23.1.0.*on r-recommended3.5.1.*on r-reshape2on samtools1.9.*
- 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 metawrap-blobology
to add into an existing workspace instead, run:
pixi add metawrap-blobology
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 metawrap-blobology
Alternatively, to install into a new environment, run:
conda create -n envname metawrap-blobology
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/metawrap-blobology:<tag>
(see metawrap-blobology/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.
Download stats
- package metawrap-classify-bins#
-
- Versions:
1.3.0-3- Depends:
on blast2.6.0.*on metawrap-mg>=1.3.0,<1.4.0a0on taxator-tk1.3.3e.*
- 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 metawrap-classify-bins
to add into an existing workspace instead, run:
pixi add metawrap-classify-bins
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 metawrap-classify-bins
Alternatively, to install into a new environment, run:
conda create -n envname metawrap-classify-bins
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/metawrap-classify-bins:<tag>
(see metawrap-classify-bins/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.
Download stats
- package metawrap-kraken#
-
- Versions:
1.3.0-3- Depends:
on jellyfishon kraken1.1.1.*on kraken22.0.*on krona2.7.*on metawrap-mg>=1.3.0,<1.4.0a0
- 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 metawrap-kraken
to add into an existing workspace instead, run:
pixi add metawrap-kraken
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 metawrap-kraken
Alternatively, to install into a new environment, run:
conda create -n envname metawrap-kraken
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/metawrap-kraken:<tag>
(see metawrap-kraken/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.
Download stats
- package metawrap-mg#
-
- Versions:
1.3.0-3,1.3.0-1,1.3.0-0- Depends:
on biopython1.72.*on python2.7.15.*
- 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 metawrap-mg
to add into an existing workspace instead, run:
pixi add metawrap-mg
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 metawrap-mg
Alternatively, to install into a new environment, run:
conda create -n envname metawrap-mg
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/metawrap-mg:<tag>
(see metawrap-mg/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.
Download stats
- package metawrap-quant-bins#
-
- Versions:
1.3.0-3- Depends:
on matplotlib-base2.2.5.*on metawrap-mg>=1.3.0,<1.4.0a0on pandas0.24.2.*on salmon0.15.0.*on seaborn0.9.0.*
- 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 metawrap-quant-bins
to add into an existing workspace instead, run:
pixi add metawrap-quant-bins
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 metawrap-quant-bins
Alternatively, to install into a new environment, run:
conda create -n envname metawrap-quant-bins
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/metawrap-quant-bins:<tag>
(see metawrap-quant-bins/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.
Download stats
- package metawrap-read-qc#
-
- Versions:
1.3.0-3- Depends:
on bmtagger3.101.*on fastqc0.11.8.*on metawrap-mg>=1.3.0,<1.4.0a0on trim-galore0.5.0.*
- 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 metawrap-read-qc
to add into an existing workspace instead, run:
pixi add metawrap-read-qc
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 metawrap-read-qc
Alternatively, to install into a new environment, run:
conda create -n envname metawrap-read-qc
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/metawrap-read-qc:<tag>
(see metawrap-read-qc/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.
Download stats
- package metawrap-reassemble-bins#
-
- Versions:
1.3.0-3- Depends:
on bwa0.7.17.*on checkm-genome1.0.12.*on curlon matplotlib-base2.2.5.*on metawrap-mg>=1.3.0,<1.4.0a0on minimap2on pplacer1.1.alpha19.*on spades3.13.0.*
- 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 metawrap-reassemble-bins
to add into an existing workspace instead, run:
pixi add metawrap-reassemble-bins
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 metawrap-reassemble-bins
Alternatively, to install into a new environment, run:
conda create -n envname metawrap-reassemble-bins
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/metawrap-reassemble-bins:<tag>
(see metawrap-reassemble-bins/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.
Download stats
- package metawrap-refinement#
-
- Versions:
1.3.0-3- Depends:
on checkm-genome1.0.12.*on curlon jellyfishon kraken1.1.1.*on krona2.7.*on matplotlib-base2.2.5.*on metawrap-mg>=1.3.0,<1.4.0a0on pplacer1.1.alpha19.*
- 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 metawrap-refinement
to add into an existing workspace instead, run:
pixi add metawrap-refinement
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 metawrap-refinement
Alternatively, to install into a new environment, run:
conda create -n envname metawrap-refinement
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/metawrap-refinement:<tag>
(see metawrap-refinement/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.
Download stats
.. Create all the necessary plots for each package by loading all the correct specs and data. Important points on the place and implementation of this script block: 1. It is here, and not in a separate HTML file, as it needs to have the `package.name` rendered in for each package. 2. All packages are handled in one `window.onload` function, as multiple instances of this throughout a (rendered) HTML just overwrite each other.Link to this page#
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/metawrap-mg/README.html)