recipe bioconductor-rfastp

An Ultra-Fast and All-in-One Fastq Preprocessor (Quality Control, Adapter, low quality and polyX trimming) and UMI Sequence Parsing).

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/Rfastp.html

License:

GPL-3 + file LICENSE

Recipe:

/bioconductor-rfastp/meta.yaml

Rfastp is an R wrapper of fastp developed in c++. fastp performs quality control for fastq files. including low quality bases trimming, polyX trimming, adapter auto-detection and trimming, paired-end reads merging, UMI sequence/id handling. Rfastp can concatenate multiple files into one file (like shell command cat) and accept multiple files as input.

package bioconductor-rfastp

versions:

1.16.0-0,  1.12.0-0,  1.10.0-0,  1.8.0-1,  1.8.0-0,  1.4.0-2,  1.4.0-1,  1.4.0-0,  1.2.0-0, 

1.16.0-0,  1.12.0-0,  1.10.0-0,  1.8.0-1,  1.8.0-0,  1.4.0-2,  1.4.0-1,  1.4.0-0,  1.2.0-0,  1.0.0-2,  1.0.0-1

depends bioconductor-rhtslib:

>=3.2.0,<3.3.0

depends bioconductor-rhtslib:

>=3.2.0,<3.3.0a0

depends bioconductor-zlibbioc:

>=1.52.0,<1.53.0

depends bioconductor-zlibbioc:

>=1.52.0,<1.53.0a0

depends libblas:

>=3.9.0,<4.0a0

depends libcxx:

>=18

depends liblapack:

>=3.9.0,<4.0a0

depends r-base:

>=4.4,<4.5.0a0

depends r-ggplot2:

depends r-rcpp:

depends r-reshape2:

depends r-rjson:

requirements:

additional platforms:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install bioconductor-rfastp

and update with::

   mamba update bioconductor-rfastp

To create a new environment, run:

mamba create --name myenvname bioconductor-rfastp

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

   docker pull quay.io/biocontainers/bioconductor-rfastp:<tag>

(see `bioconductor-rfastp/tags`_ for valid values for ``<tag>``)

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-rfastp/README.html)