- recipe bioconductor-contibait
Improves Early Build Genome Assemblies using Strand-Seq Data
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/contiBAIT.html
- License:
BSD_2_clause + file LICENSE
- Recipe:
- Links:
biotools: contibait, doi: 10.1093/bioinformatics/btx281
Using strand inheritance data from multiple single cells from the organism whose genome is to be assembled, contiBAIT can cluster unbridged contigs together into putative chromosomes, and order the contigs within those chromosomes.
- package bioconductor-contibait¶
-
- Versions:
1.30.0-1,1.30.0-0,1.28.0-0,1.26.0-1,1.26.0-0,1.22.0-2,1.22.0-1,1.22.0-0,1.20.0-0,1.30.0-1,1.30.0-0,1.28.0-0,1.26.0-1,1.26.0-0,1.22.0-2,1.22.0-1,1.22.0-0,1.20.0-0,1.18.0-1,1.18.0-0,1.15.0-0,1.14.0-0,1.12.0-1,1.10.0-0,1.8.0-0,1.6.0-0- Depends:
on bioconductor-biocgenerics
>=0.48.0,<0.49.0on bioconductor-biocgenerics
>=0.48.1,<0.49.0a0on bioconductor-biocparallel
>=1.36.0,<1.37.0on bioconductor-biocparallel
>=1.36.0,<1.37.0a0on bioconductor-dnacopy
>=1.76.0,<1.77.0on bioconductor-dnacopy
>=1.76.0,<1.77.0a0on bioconductor-exomecopy
>=1.48.0,<1.49.0on bioconductor-exomecopy
>=1.48.0,<1.49.0a0on bioconductor-genomicalignments
>=1.38.0,<1.39.0on bioconductor-genomicalignments
>=1.38.0,<1.39.0a0on bioconductor-genomicfiles
>=1.38.0,<1.39.0on bioconductor-genomicfiles
>=1.38.0,<1.39.0a0on bioconductor-genomicranges
>=1.54.0,<1.55.0on bioconductor-genomicranges
>=1.54.1,<1.55.0a0on bioconductor-iranges
>=2.36.0,<2.37.0on bioconductor-iranges
>=2.36.0,<2.37.0a0on bioconductor-rsamtools
>=2.18.0,<2.19.0on bioconductor-rsamtools
>=2.18.0,<2.19.0a0on bioconductor-rtracklayer
>=1.62.0,<1.63.0on bioconductor-rtracklayer
>=1.62.0,<1.63.0a0on bioconductor-s4vectors
>=0.40.0,<0.41.0on bioconductor-s4vectors
>=0.40.2,<0.41.0a0on libblas
>=3.9.0,<4.0a0on libgcc-ng
>=12on liblapack
>=3.9.0,<4.0a0on libstdcxx-ng
>=12on r-base
>=4.3,<4.4.0a0on r-bh
>=1.51.0.3on r-clue
on r-cluster
on r-colorspace
on r-data.table
on r-diagram
on r-ggplot2
on r-gplots
on r-gtools
on r-rcpp
on r-reshape2
on r-tsp
- Additional platforms:
linux-aarch64
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 bioconductor-contibait
to add into an existing workspace instead, run:
pixi add bioconductor-contibait
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 bioconductor-contibait
Alternatively, to install into a new environment, run:
conda create -n envname bioconductor-contibait
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/bioconductor-contibait:<tag>
(see bioconductor-contibait/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/bioconductor-contibait/README.html)