- recipe sr2silo
Short-read to SILO format converter.
- Homepage:
- Documentation:
- License:
MIT / MIT
- Recipe:
sr2silo is a tool for converting short read data to SILO format, designed for bioinformatics applications.
- package sr2silo¶
-
- Versions:
1.8.1-0,1.8.0-0,1.7.0-0,1.6.1-0,1.6.0-0,1.5.0-0,1.4.0-0,1.3.0-0,1.2.0-0,1.8.1-0,1.8.0-0,1.7.0-0,1.6.1-0,1.6.0-0,1.5.0-0,1.4.0-0,1.3.0-0,1.2.0-0,1.1.1-0,1.1.0-0,1.0.1-0,0.2.0-0,0.1.2-0,0.1.1-0,0.0.4-0- Depends:
on biopython
>=1.83on boto3
>=1.35.72on click
>=8.1.8on moto
>=5.0.22on psutil
>=6.1.1on pydantic
>=2.10.6on pysam
>=0.23.0on python
>=3.11on python-dotenv
on pyyaml
>=6.0.2on requests
>=2.25.0on tqdm
>=4.67.1on typer
>=0.15.1on zstandard
>=0.23.0
- 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 sr2silo
to add into an existing workspace instead, run:
pixi add sr2silo
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 sr2silo
Alternatively, to install into a new environment, run:
conda create -n envname sr2silo
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/sr2silo:<tag>
(see sr2silo/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/sr2silo/README.html)