recipe mirfix

MIRfix automatically curates miRNA datasets by improving alignments of their precursors, the consistency of the annotation of mature miR and miR* sequence, and the phylogenetic coverage. MIRfix produces alignments that are comparable across families and sets the stage for improved homology search as well as quantitative analyses.

Homepage:

https://github.com/Bierinformatik/MIRfix

License:

GPL / GPL-3.0

Recipe:

/mirfix/meta.yaml

package mirfix

(downloads) docker_mirfix

Versions:

2.1.1-02.1.0-12.1.0-02.0.1-02.0.0-12.0.0-01.0.1-0

Depends:
  • on biopython >=1.78

  • on blast >=2.13.0

  • on clustalw >=2.1

  • on dialign2 >=2.2.1

  • on matplotlib-base >=3.3.1

  • on natsort >=6.2.0

  • on numpy >=1.19.1

  • on pyfaidx >=0.7.1

  • on python >=3

  • on tk >=8.6.10

  • on viennarna >=2.4.15

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 mirfix

to add into an existing workspace instead, run:

pixi add mirfix

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 mirfix

Alternatively, to install into a new environment, run:

conda create -n envname mirfix

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/mirfix:<tag>

(see mirfix/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.

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