- recipe rdrpcatch
RNA virus RdRp sequence scanner.
- Homepage:
- License:
MIT / MIT
- Recipe:
RdRpCATCH (RNA-dependent RNA polymerase Collaborative Analysis Tool with Collections of pHMMs) is a tool for scanning sequences for RNA-dependent RNA polymerases (RdRps) using profile HMMs.
- package rdrpcatch¶
-
- Versions:
1.0.1.post1-0,1.0.1-0,0.0.9-0,0.0.8-0,0.0.7-0,0.0.6-0,0.0.5-0,0.0.4-0,0.0.3-0,1.0.1.post1-0,1.0.1-0,0.0.9-0,0.0.8-0,0.0.7-0,0.0.6-0,0.0.5-0,0.0.4-0,0.0.3-0,0.0.1-0- Depends:
on altair
5.5.0on matplotlib-base
3.10.1on mmseqs2
17.b804fon needletail
0.6.3on numpy
2.2.4on pandas
2.2.3on polars
1.26.0on pyhmmer
0.11.0on python
>=3.12on requests
2.32.3on rich
13.9.4on rich-click
1.8.8on seqkit
2.10.0on upsetplot
0.9.0
- 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 rdrpcatch
to add into an existing workspace instead, run:
pixi add rdrpcatch
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 rdrpcatch
Alternatively, to install into a new environment, run:
conda create -n envname rdrpcatch
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/rdrpcatch:<tag>
(see rdrpcatch/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¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/rdrpcatch/README.html)