- recipe htstream
HTStream is a quality control and processing pipeline for High Throughput Sequencing data. The difference between HTStream and other tools is that HTStream uses a tab delimited fastq format that allows for streaming from application to application. This streaming creates some awesome efficiencies when processing HTS data and makes it fully interoperable with other standard Linux tools.
- Homepage:
- License:
Apache / Apache 2.0
- Recipe:
- package htstream¶
- versions:
1.3.3-6
,1.3.3-5
,1.3.3-4
,1.3.3-3
,1.3.3-2
,1.3.3-1
,1.3.3-0
,1.3.2-0
,1.3.1-0
,1.3.3-6
,1.3.3-5
,1.3.3-4
,1.3.3-3
,1.3.3-2
,1.3.3-1
,1.3.3-0
,1.3.2-0
,1.3.1-0
,1.2.0-0
,1.1.0-0
,1.0.0-0
- depends boost:
- depends bzip2:
>=1.0.8,<2.0a0
- depends libgcc:
>=13
- depends liblzma:
>=5.6.3,<6.0a0
- depends libstdcxx:
>=13
- depends libzlib:
>=1.3.1,<2.0a0
- depends xz:
- depends zlib:
- 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 htstream and update with:: mamba update htstream
To create a new environment, run:
mamba create --name myenvname htstream
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/htstream:<tag> (see `htstream/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/htstream/README.html)