- recipe merge-gbk-records
Turn multiple GenBank records (either in multiple files or a single multi-record file) into a single record
- Homepage:
- License:
Apache / Apache-2.0
- Recipe:
A small script to turn multiple GenBank records (either in multiple files or a single multi-record file) into a single record. Sequences are merged by concatenating them in order, and putting a spacer sequence between them. Spacer sequence length can be given in kbp. It is possible to pick an all-N spacer, or using a spacer consisting of all-frame stop codons.
- package merge-gbk-records¶
- Versions:
0.2.0-0- Depends:
on biopython
>=1.79on python
>=3.7
- 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 merge-gbk-records
to add into an existing workspace instead, run:
pixi add merge-gbk-records
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 merge-gbk-records
Alternatively, to install into a new environment, run:
conda create -n envname merge-gbk-records
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/merge-gbk-records:<tag>
(see merge-gbk-records/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/merge-gbk-records/README.html)
