- recipe nanometa-live
Workflow and GUI for real-time species classification and pathogen characterization of nanopore sequence reads.
- Homepage:
- Documentation:
- License:
GPL3 / GPL-3.0-or-later
- Recipe:
- package nanometa-live¶
-
- Versions:
0.4.3-0,0.4.2-0,0.4.1-0,0.4.0-0,0.3.1-0,0.3.0-0,0.1.1-0- Depends:
on biopython
>=1.80on blast
>=2.13.0on dash
>=2.8.1on dash-bootstrap-components
>=1.3.1on dash-daq
>=0.5.0on fastp
>=0.23.2on gzip
>=1.10on kraken2
>=2.1.2on ncbi-datasets-cli
>=15.20.0on numpy
>=1.24.1on pandas
>=1.5.3on plotly
>=5.13.0on pytest
>=7.2.1on python
>=3.9on pyyaml
>=6.0on ruamel.yaml
>=0.17.32on snakemake-minimal
>=7.20.0on tqdm
>=4.62.3
- 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 nanometa-live
to add into an existing workspace instead, run:
pixi add nanometa-live
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 nanometa-live
Alternatively, to install into a new environment, run:
conda create -n envname nanometa-live
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/nanometa-live:<tag>
(see nanometa-live/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/nanometa-live/README.html)