recipe evigene

A genome informatics project for Evidence Directed Gene Construction for Eukaryotes

Homepage:

http://arthropods.eugenes.org/EvidentialGene/

License:

Don Gilbert, gilbertd At indiana edu, 2018

Recipe:

/evigene/meta.yaml

EvidentialGene is a genome informatics project for "Evidence Directed Gene Construction for Eukaryotes", for constructing high quality, accurate gene sets for animals and plants (any eukaryotes), being developed by Don Gilbert at Indiana University, gilbertd at indiana edu. The perl scripts are nested inside the 'scripts' folder and, therefor can only be used by providing the full path such as '$EVIGENEHOME/scripts/prot/tr2aacds.pl -h'

package evigene

(downloads) docker_evigene

Versions:

23.7.15-123.7.15-0

Depends:
  • on blast

  • on cd-hit

  • on exonerate

  • on perl

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 evigene

to add into an existing workspace instead, run:

pixi add evigene

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 evigene

Alternatively, to install into a new environment, run:

conda create -n envname evigene

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/evigene:<tag>

(see evigene/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