Package Recipe 'bioconductor-orfik'

recipe bioconductor-orfik

Open Reading Frames in Genomics

Homepage:: https://bioconductor.org/packages/3.20/bioc/html/ORFik.html
License:: MIT + file LICENSE
Recipe:: /bioconductor-orfik/meta.yaml

R package for analysis of transcript and translation features through manipulation of sequence data and NGS data like Ribo-Seq, RNA-Seq, TCP-Seq and CAGE. It is generalized in the sense that any transcript region can be analysed, as the name hints to it was made with investigation of ribosomal patterns over Open Reading Frames (ORFs) as it's primary use case. ORFik is extremely fast through use of C++, data.table and GenomicRanges. Package allows to reassign starts of the transcripts with the use of CAGE-Seq data, automatic shifting of RiboSeq reads, finding of Open Reading Frames for whole genomes and much more.

package bioconductor-orfik¶

Versions:

1.30.2-0, 1.26.0-0, 1.22.0-0, 1.20.0-0, 1.18.0-1, 1.18.0-0, 1.14.7-1, 1.14.7-0, 1.14.5-0,

1.30.2-0, 1.26.0-0, 1.22.0-0, 1.20.0-0, 1.18.0-1, 1.18.0-0, 1.14.7-1, 1.14.7-0, 1.14.5-0, 1.12.0-0, 1.10.1-0, 1.8.1-0, 1.6.0-0, 1.4.1-0, 1.2.0-0

Depends:

on bioconductor-annotationdbi >=1.72.0,<1.73.0
on bioconductor-annotationdbi >=1.72.0,<1.73.0a0
on bioconductor-biocfilecache >=3.0.0,<3.1.0
on bioconductor-biocfilecache >=3.0.0,<3.1.0a0
on bioconductor-biocgenerics >=0.56.0,<0.57.0
on bioconductor-biocgenerics >=0.56.0,<0.57.0a0
on bioconductor-biocparallel >=1.44.0,<1.45.0
on bioconductor-biocparallel >=1.44.0,<1.45.0a0
on bioconductor-biomart >=2.66.0,<2.67.0
on bioconductor-biomart >=2.66.0,<2.67.0a0
on bioconductor-biostrings >=2.78.0,<2.79.0
on bioconductor-biostrings >=2.78.0,<2.79.0a0
on bioconductor-bsgenome >=1.78.0,<1.79.0
on bioconductor-bsgenome >=1.78.0,<1.79.0a0
on bioconductor-deseq2 >=1.50.0,<1.51.0
on bioconductor-deseq2 >=1.50.2,<1.51.0a0
on bioconductor-genomeinfodb >=1.46.0,<1.47.0
on bioconductor-genomeinfodb >=1.46.2,<1.47.0a0
on bioconductor-genomicalignments >=1.46.0,<1.47.0
on bioconductor-genomicalignments >=1.46.0,<1.47.0a0
on bioconductor-genomicfeatures >=1.62.0,<1.63.0
on bioconductor-genomicfeatures >=1.62.0,<1.63.0a0
on bioconductor-genomicranges >=1.62.0,<1.63.0
on bioconductor-genomicranges >=1.62.1,<1.63.0a0
on bioconductor-iranges >=2.44.0,<2.45.0
on bioconductor-iranges >=2.44.0,<2.45.0a0
on bioconductor-rsamtools >=2.26.0,<2.27.0
on bioconductor-rsamtools >=2.26.0,<2.27.0a0
on bioconductor-rtracklayer >=1.70.0,<1.71.0
on bioconductor-rtracklayer >=1.70.1,<1.71.0a0
on bioconductor-s4vectors >=0.48.0,<0.49.0
on bioconductor-s4vectors >=0.48.0,<0.49.0a0
on bioconductor-summarizedexperiment >=1.40.0,<1.41.0
on bioconductor-summarizedexperiment >=1.40.0,<1.41.0a0
on bioconductor-txdbmaker >=1.6.0,<1.7.0
on bioconductor-txdbmaker >=1.6.2,<1.7.0a0
on libblas >=3.9.0,<4.0a0
on libgcc >=14
on liblapack >=3.9.0,<4.0a0
on liblzma >=5.8.2,<6.0a0
on libstdcxx >=14
on libzlib >=1.3.1,<2.0a0
on r-base >=4.5,<4.6.0a0
on r-biomartr >=1.0.7
on r-biomartr >=1.0.7,<2.0a0
on r-cowplot >=1.0.0
on r-data.table >=1.11.8
on r-fst >=0.9.2
on r-ggplot2 >=2.2.1
on r-gridextra >=2.3
on r-httr >=1.3.0
on r-jsonlite
on r-qs2
on r-r.utils
on r-rcpp >=1.0.0
on r-withr
on r-xml
on r-xml2 >=1.2.0

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 bioconductor-orfik

to add into an existing workspace instead, run:

pixi add bioconductor-orfik

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-orfik

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-orfik

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-orfik:<tag>

(see bioconductor-orfik/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:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-orfik/README.html)