- recipe elastic-blast
ElasticBLAST is a cloud-based tool to perform your BLAST searches faster and make you more effective.
- Homepage:
- License:
PUBLIC-DOMAIN / Public Domain
- Recipe:
- Links:
biotools: blast, doi: 10.1186/s12859-023-05245-9
- package elastic-blast¶
-
- Versions:
1.5.0-0,1.4.0-0,1.3.1-0,1.3.0-1,1.3.0-0,1.2.0-0,1.1.0-1,1.1.0-0,1.0.0-0,1.5.0-0,1.4.0-0,1.3.1-0,1.3.0-1,1.3.0-0,1.2.0-0,1.1.0-1,1.1.0-0,1.0.0-0,0.2.7-0,0.2.6-0,0.2.5-0,0.2.4-0,0.2.3-0,0.2.2-0,0.2.1-0,0.2.0-0,0.1.11-0,0.1.10-0,0.1.9-0,0.1.8-0,0.1.7-0,0.1.6-0,0.1.5-0,0.1.4-0- Depends:
on awscli
on awslimitchecker
on boto3
on dataclasses-json
on google-cloud-sdk
on importlib-metadata
on importlib-resources
6.1.1on kubernetes-client
on pex
on python
>=3.11,<3.14on tenacity
- 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 elastic-blast
to add into an existing workspace instead, run:
pixi add elastic-blast
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 elastic-blast
Alternatively, to install into a new environment, run:
conda create -n envname elastic-blast
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/elastic-blast:<tag>
(see elastic-blast/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/elastic-blast/README.html)